X. OPERATIONS
Nexus Foundry operations for intake, backlog management, quests, bounties, builds, maintainers, and governed production workflows for public-good software.
This page defines Nexus Foundry operations. It covers Foundry intake, backlog governance, quests, bounties, builds, and maintainer workflows so public-good software, sovereign compute systems, and provider-neutral engineering move through governed production, review, support, correction, and lawful handoff.
Summary
Nexus Foundry operations move intake through backlog, quests, bounties, and governed builds.
The model keeps review, support, correction, public-safe checks, and lifecycle discipline visible.
Operational status does not create procurement, finance, consent, deployment, or execution authority.
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In this operations model
54. Foundry Intake
54.1 Intake Sources
54.1.1 Intake Source Identity. Intake Sources shall be the recognized origin pathways through which potential Foundry work enters Nexus Foundry for triage, classification, routing, review, production, support, correction, non-continuation, handoff preparation, teardown, or archive. Intake Sources may include Nexus Acceleration, Nexus Core Build, Nexus Universe, Nexus Network, Nexus Observatory, Nexus Rails, Nexus Academy, Nexus Grid, Nexus Studio, Nexus Marketplace, Nexus Registry, National Nexus Nodes, National Nexus Consortiums, Regional Nexus Consortiums, National Councils, Helix Councils, National Working Groups, Competence Cells, Guilds, public authority learning pathways, community and Indigenous inputs where applicable, provider contributions, sponsor-supported inputs, university and research inputs, capital-reader questions, readiness rooms, safeguard reviews, correction reports, incident reports, archive reviews, and lawful handoff feedback.
54.1.2 Intake Purpose. Intake shall convert incoming signals, ideas, outputs, artifacts, questions, evidence, needs, risks, proposed builds, records, dashboards, tools, Packs, Profiles, schemas, connectors, agents, Studio candidates, Marketplace candidates, Registry candidates, National Portfolio items, public authority learning materials, readiness questions, safeguard concerns, and correction needs into record-bearing Foundry objects or non-continuation records. Intake shall prevent valuable work from being lost and prevent unsuitable work from entering production without review.
54.1.3 Intake as Gate, Not Approval. Intake shall be the first formal Foundry gate. Acceptance for intake means only that the matter is recorded for triage and classification. Intake shall not mean the matter is accepted for production, release, support, Marketplace listing, Registry status, Studio runtime, Grid input, public authority learning, readiness use, handoff preparation, deployment, or execution.
54.1.4 Intake Source Classes. Intake Source Classes shall include: 54.1.4(a) programmatic sources, including Nexus Acceleration, Nexus Core Build, Nexus Universe, Nexus Network, Nexus Observatory, Nexus Academy, Nexus Grid, Nexus Rails, Nexus Studio, Nexus Marketplace, and Nexus Registry; 54.1.4(b) institutional sources, including GCRI, The Global Risks Forum (GRF), The Global Risks Alliance (GRA), protocol authority interfaces where separate, National Nexus Consortiums, Regional Nexus Consortiums, National Councils, Helix Councils, Working Groups, and Competence Cells; 54.1.4(c) technical sources, including repositories, datasets, models, dashboards, APIs, connectors, agents, schemas, simulations, digital twins, observability records, security findings, and support logs; 54.1.4(d) stakeholder sources, including public authorities, universities, providers, sponsors, hosts, communities, Indigenous institutions where applicable, public-interest actors, youth, media, capital readers, insurers, donors, public finance actors, and implementation actors; 54.1.4(e) lifecycle sources, including correction reports, incident records, support tickets, renewal reviews, archive reviews, teardown findings, and handoff feedback.
54.1.5 Intake Source Record. Each intake item shall identify its Intake Source, submitting actor or pathway where appropriate, source record, source context, object class, claimed need, proposed use, affected geography, affected sector, affected domain, data sensitivity, public authority sensitivity, finance or procurement sensitivity, safeguard relevance, national routing relevance, support implication, correction relevance, and prohibited interpretations.
54.1.6 Source Integrity. Intake shall preserve source integrity. A provider contribution shall be recorded as a provider contribution, not as Foundry validation. A sponsor-supported input shall be recorded as sponsor-supported, not sponsor-controlled. A public authority learning input shall be recorded as learning input, not public authority approval. A community or Indigenous input shall be recorded with safeguard conditions and shall not be converted into consent.
54.1.7 Intake Source Boundary. No Intake Source, including Nexus Universe visibility, Nexus Core Build production, National Portfolio inclusion, public authority interest, sponsor support, provider contribution, capital-reader question, community participation, Indigenous participation where applicable, or Guild recommendation, shall create approval, certification, procurement status, financeability, insurability, consent, deployment authorization, operational command, or execution authority.
54.1.8 Intake Source Correction. Intake Source Records shall be corrected where the source is misidentified, authority is overclaimed, stakeholder role is misstated, provider or sponsor influence is hidden, public authority interaction is misrepresented, community or Indigenous participation is converted into consent, or intake source status is treated as approval.
54.1.9 Intake Source Formula. Intake Sources shall follow the formula: record where the work came from; preserve source identity; disclose influence and context; classify sensitivity; route for triage; never let origin become approval, endorsement, consent, deployment, or execution.
54.2 Acceleration Objects
54.2.1 Acceleration Object Identity. Acceleration Objects shall be Foundry intake items originating from Nexus Acceleration, including program concepts, challenge briefs, Quests, Bounties, Builds, work packages, TRL 1–10 inputs, evidence questions, readiness questions, safeguard questions, public-good software candidates, Observatory candidates, Studio candidates, Marketplace candidates, Registry candidates, Academy pathways, Competence Cell outputs, National Node outputs, and lawful handoff candidates.
54.2.2 Acceleration Object Purpose. Acceleration Objects shall translate acceleration activity into Foundry production pathways. They shall ensure that work generated by acceleration does not remain a temporary program output but becomes traceable, reviewable, supportable, public-safe, nationally routable where relevant, and correctionable.
54.2.3 Acceleration Object Record. Each Acceleration Object submitted to Foundry shall have an Acceleration Object Record identifying program, track, Quest, Bounty, Build, contributor group, steward, source records, object class, proposed Pack or Rail relationship, evidence basis, data class, AI involvement where applicable, public-safe status, safeguard relevance, national relevance, support status, correction pathway, archive rule, and prohibited interpretations.
54.2.4 Acceleration Intake Classes. Acceleration Objects may enter as draft concepts, build candidates, prototype outputs, Pack candidates, schema candidates, connector candidates, dashboard candidates, agent candidates, evidence products, readiness products, safeguard products, Studio runtime candidates, Marketplace listing candidates, Registry record candidates, Grid input candidates, handoff dependency candidates, or non-continuation records.
54.2.5 Acceleration Review Gate. Acceleration Objects shall be triaged for evidence adequacy, technical quality, data classification, AI risk, security risk, public-safe risk, safeguard relevance, national routing, supportability, provider neutrality, sponsor influence, Marketplace suitability, Registry need, Studio suitability, TRL relevance, and handoff proximity.
54.2.6 Acceleration Without Automatic Release. Completion of an acceleration program, Quest, Bounty, Build, review sprint, Core Build contribution, Nexus Universe showcase, or contributor milestone shall not create release status, Registry status, Marketplace listing, Studio authorization, TRL status, support status, readiness status, handoff status, deployment authorization, or execution authority.
54.2.7 Acceleration Object Correction. Acceleration Objects shall be corrected where contributor claims overreach, program status is overstated, prototype maturity is exaggerated, data or AI controls are missing, sponsor or provider influence is hidden, public-safe language is unsafe, or acceleration completion is treated as approval.
54.2.8 Acceleration Object Formula. Acceleration Objects shall follow the formula: convert acceleration work into records; triage before production; review before release; support only by record; archive non-continuation; never let acceleration momentum become approval or deployment authority.
54.3 Nexus Core Build Outputs
54.3.1 Nexus Core Build Output Identity. Nexus Core Build Outputs shall be Foundry intake items produced through Nexus Core Build cycles, including temporary stack artifacts, technical prototypes, network configurations, compute patterns, Observatory modules, Studio packages, dashboards, connectors, agents, schemas, test results, simulation outputs, digital twin components, evidence packs, support notes, public-safe materials, training materials, operational lessons, correction reports, teardown records, and archive records.
54.3.2 Core Build Output Purpose. Core Build Outputs shall convert temporary high-intensity build activity into permanent records, reusable public-good components, supportable Packs, national and regional pathways, Marketplace candidates, Registry records, Studio packages, Academy materials, Grid inputs, lawful handoff dependency packages, or archive records. The principle shall be temporary stack, permanent record.
54.3.3 Core Build Output Record. Each Core Build Output shall have a Core Build Output Record identifying cycle, location or environment where applicable, steward, contributors, source records, object class, build environment, dependencies, data class, AI involvement where applicable, security status, test status, support status, public-safe status, safeguard status, teardown status, Registry relationship, Marketplace relationship, Studio relationship, correction pathway, archive rule, and prohibited interpretations.
54.3.4 Core Build Output Classes. Core Build Outputs may include Build Artifacts, Deployment Unit Candidates, Golden Images, Infrastructure-as-Code Templates, Network Configurations, Simulation Outputs, Digital Twin Components, Observatory Modules, DRI Components, GRIx Components, Dashboard Templates, Connector Templates, Agent Configurations, Academy Exercises, Public-Safe Summaries, Support Notes, Teardown Notes, and Archive Packages.
54.3.5 Core Build Review Gate. Core Build Outputs shall be reviewed after the build cycle for source provenance, dependency inventory, security posture, data handling, AI behavior, public-safe language, support burden, reuse value, national routing, Marketplace suitability, Registry status, Studio readiness, Grid relevance, handoff relevance, teardown completion, and archive completeness.
54.3.6 Core Build Without Deployment. Successful operation during Nexus Core Build shall not authorize continued operation, public deployment, production deployment, public authority use, procurement, finance, insurance, consent, operational command, or execution. Core Build success means that an output functioned under recorded temporary conditions.
54.3.7 Core Build Teardown Discipline. Intake of Core Build Outputs shall verify whether temporary compute, network, access, credentials, public links, demonstration endpoints, data stores, Studio sessions, agents, dashboards, and connectors were closed or require continued support by record.
54.3.8 Core Build Output Correction. Core Build Outputs shall be corrected where temporary configuration is mistaken for permanent architecture, event success is treated as maturity, dependencies are hidden, teardown is incomplete, public-safe materials overclaim, or Core Build display is treated as deployment approval.
54.3.9 Core Build Output Formula. Core Build Outputs shall follow the formula: capture the temporary build; preserve the permanent record; review dependencies and teardown; route reusable components; archive what should not continue; never let Core Build success become deployment authorization.
54.4 Nexus Universe Outputs
54.4.1 Nexus Universe Output Identity. Nexus Universe Outputs shall be Foundry intake items generated by Nexus Universe annual cycles, arenas, regional clusters, national models, public authority rooms, capital-reader rooms, Studio sessions, Core Build demonstrations, Observatory showcases, Academy activities, Competence Cell work, National Working Group sessions, safeguard discussions, and public-safe reporting activities.
54.4.2 Nexus Universe Output Purpose. Nexus Universe Outputs shall convert annual surge activity into durable Foundry records, Packs, Profiles, Rails, Studio packages, Marketplace candidates, Registry records, Academy materials, readiness questions, safeguard records, National Portfolio inputs, Grid inputs, correction records, handoff dependency packages, renewal items, and archive memory. Nexus Universe visibility shall be converted into records before any status is claimed.
54.4.3 Nexus Universe Output Record. Each Nexus Universe Output shall have a Nexus Universe Output Record identifying arena, cycle, session, source pathway, contributors, steward, object class, public-safe status, data class, public authority involvement if any, capital-reader involvement if any, sponsor or provider involvement if any, community or Indigenous participation where applicable, national relevance, readiness relevance, safeguard relevance, correction pathway, archive rule, and prohibited interpretations.
54.4.4 Nexus Universe Output Classes. Nexus Universe Outputs may include Public-Safe Reports, Arena Challenge Records, National Model Records, Regional Cluster Records, Public Authority Learning Records, Capital-Reader Question Records, Insurance-Reader Question Records, Donor/Public Finance Question Records, Observatory Records, Studio Session Records, Docket Items, Grid Input Candidates, AEP Passport-related candidates where separately authorized, Proof Receipts where authorized, Marketplace Candidates, Registry Candidates, Handoff Dependency Candidates, Correction Records, Renewal Records, and Archive Records.
54.4.5 Nexus Universe Review Gate. Nexus Universe Outputs shall be reviewed for event-stage overclaim, public-safe meaning, stakeholder attribution, sponsor and provider neutrality, public authority boundary, finance and procurement boundary, consent boundary, national routing, evidence sufficiency, support status, correction needs, and archive status.
54.4.6 Arena Visibility Without Status. Presentation, demonstration, attendance, media visibility, sponsor support, public authority participation, provider contribution, capital-reader presence, community participation, Indigenous participation where applicable, or public display at Nexus Universe shall not create approval, endorsement, financeability, procurement status, public authority status, consent, deployment authorization, or execution authority.
54.4.7 Nexus Universe Output Correction. Nexus Universe Outputs shall be corrected where public materials overclaim status, stakeholder attendance is misrepresented, sponsor or provider influence appears as endorsement, public authority presence is treated as approval, capital-reader presence is treated as investment interest, or community or Indigenous participation is treated as consent.
54.4.8 Nexus Universe Output Formula. Nexus Universe Outputs shall follow the formula: turn annual surge into durable records; separate visibility from status; route nationally where relevant; correct arena overclaim; archive cycle memory; never let Nexus Universe presence become approval or execution.
54.5 National Portfolio Inputs
54.5.1 National Portfolio Input Identity. National Portfolio Inputs shall be intake items arising from national priorities, National Nexus Nodes, National Nexus Consortiums, National Councils, Helix Councils, National Working Groups, Competence Cells, public authority learning pathways, national observability, national DRI, national safeguards, national readiness mapping, national Studio sessions, national Marketplace contexts, national Registry records, and national lawful handoff pathways.
54.5.2 National Portfolio Input Purpose. National Portfolio Inputs shall preserve national ownership before local delivery. They shall allow Foundry to support country-level public-good formation, national portfolio development, national capability formation, national public authority learning, national readiness mapping, national safeguards, and lawful national continuation without allowing global, regional, sponsor, provider, or capital-reader actors to bypass national pathways.
54.5.3 National Portfolio Input Record. Each National Portfolio Input shall have a National Portfolio Input Record identifying country, National Node or national pathway, source actor or body, object class, national priority relationship, data class, public authority sensitivity, community safeguard relevance, Indigenous protocol relevance where applicable, language needs, national support status, readiness relevance, handoff relevance, correction pathway, archive rule, and prohibited interpretations.
54.5.4 National Portfolio Input Classes. Inputs may include national challenge records, national risk maps, national observability summaries, national DRI outputs, national public authority learning notes, national readiness questions, national safeguard records, national Academy needs, national Studio candidates, national Marketplace candidates, national Registry references, national handoff dependency candidates, national non-continuation records, and national archive records.
54.5.5 National Triage Gate. National Portfolio Inputs shall be triaged for national routing, data residency, public authority boundary, language, accessibility, community safeguards, Indigenous protocols where applicable, national support capacity, evidence adequacy, readiness dependency, Marketplace suitability, Registry need, Studio suitability, Grid relevance, and lawful handoff proximity.
54.5.6 National Portfolio Input Boundary. National Portfolio inclusion, national dashboard display, National Council discussion, Helix Council discussion, National Working Group work, Competence Cell output, or National Node routing shall not create government approval, public authority adoption, national endorsement, procurement priority, public finance allocation, financeability, insurability, community consent, Indigenous consent where applicable, deployment authorization, or execution authority.
54.5.7 National Portfolio Input Correction. National Portfolio Inputs shall be corrected where national routing is bypassed, public authority role is overstated, community or Indigenous safeguards are omitted, national data controls fail, translation changes meaning, readiness is overclaimed, or national portfolio status is treated as approval.
54.5.8 National Portfolio Input Formula. National Portfolio Inputs shall follow the formula: route country-relevant work nationally; record national context; protect data and safeguards; distinguish portfolio visibility from approval; correct national drift; never let portfolio intake become implementation authority.
54.6 Observatory Inputs
54.6.1 Observatory Input Identity. Observatory Inputs shall be intake items arising from Nexus Observatory, Observatory Nodes, Edge Environments, sensor feeds, Earth observation sources, geospatial layers, DRI pipelines, GRIx context, digital twins, dashboard telemetry, public authority learning observability, national observability, community-grounded inputs where safeguarded, Indigenous-sensitive inputs where applicable and authorized, and public-safe observability outputs.
54.6.2 Observatory Input Purpose. Observatory Inputs shall convert visibility into record-bearing signals, indicators, evidence questions, dashboard candidates, DRI candidates, digital twin inputs, readiness questions, safeguard flags, public-safe summaries, Marketplace context, Registry references, Studio packages, or archive records without allowing observability to become warning, rating, surveillance, public authority decision, finance signal, procurement signal, consent, deployment, or command.
54.6.3 Observatory Input Record. Each Observatory Input shall have an Observatory Input Record identifying signal source, data source, sensor or Edge source where applicable, geospatial layer where applicable, indicator relationship, data class, sensitivity class, location sensitivity, confidence label, uncertainty label, drift label, validation status, public-safe status, national routing, safeguard relevance, correction pathway, archive rule, and prohibited interpretations.
54.6.4 Observatory Input Classes. Inputs may include raw signals, validated signals, indicator candidates, geospatial layers, Earth observation outputs, Edge telemetry, dashboard telemetry, DRI candidate outputs, GRIx context signals, digital twin updates, public-safe observability summaries, sensor drift reports, data gaps, anomaly candidates, and observability correction reports.
54.6.5 Observatory Triage Gate. Observatory Inputs shall be triaged for provenance, data classification, geospatial sensitivity, sensor quality, drift, validation state, confidence, uncertainty, national routing, public authority sensitivity, public-safe suitability, safeguard relevance, dashboard suitability, Studio suitability, readiness relevance, and archive need.
54.6.6 Observability Without Warning. Observatory Input shall not create public warning, emergency alert, official risk classification, surveillance authority, insurance determination, investment signal, procurement priority, public authority action, consent, deployment authorization, or operational command.
54.6.7 Observatory Input Correction. Observatory Inputs shall be corrected where sensors drift, geospatial sensitivity is exposed, dashboards mislead, uncertainty is hidden, public-safe labels fail, national routing is bypassed, or observability is used as warning, rating, finance, procurement, consent, deployment, or execution signal.
54.6.8 Observatory Input Formula. Observatory Inputs shall follow the formula: capture signals with provenance; classify sensitivity; label confidence, uncertainty, and drift; route nationally; publish only public-safe outputs; never let visibility become warning or command.
54.7 Guild Inputs
54.7.1 Guild Input Identity. Guild Inputs shall be intake items arising from Foundry Guilds, domain guilds, technical guilds, sector guilds, evidence guilds, AI guilds, cyber guilds, data guilds, Observatory guilds, readiness guilds, safeguard guilds, public-safe communication guilds, Academy guilds, Marketplace guilds, Registry guilds, Studio guilds, and lawful handoff guilds.
54.7.2 Guild Input Purpose. Guild Inputs shall convert domain depth and expert judgment into structured Foundry work without allowing expertise to become unilateral authority. Guilds may identify gaps, propose standards-interface questions, review methods, suggest Packs, improve schemas, flag risks, propose dashboards, review AI workflows, draft Academy materials, or recommend corrections. Their inputs shall be routed through records and review.
54.7.3 Guild Input Record. Each Guild Input shall have a Guild Input Record identifying guild, domain, contributors, reviewer roles, input class, source records, evidence basis, proposed object class, public-safe implications, data implications, AI implications, security implications, national relevance, safeguard relevance, support implications, correction pathway, archive rule, and prohibited interpretations.
54.7.4 Guild Input Classes. Guild Inputs may include domain definitions, ontology proposals, schema proposals, indicator proposals, method proposals, Pack proposals, dashboard proposals, AI workflow proposals, security findings, evidence reviews, readiness questions, safeguard concerns, public-safe language recommendations, Academy content, Marketplace metadata suggestions, Registry state suggestions, Studio scenario suggestions, and handoff dependency recommendations.
54.7.5 Guild Review Gate. Guild Inputs shall be reviewed for evidence basis, expertise limits, conflicts, provider influence, sponsor influence, public-safe wording, national relevance, safeguard conditions, compatibility with controlled vocabulary, support implications, and boundary discipline.
54.7.6 Guild Expertise Without Authority. Guild expertise shall not create certification, approval, provider validation, public authority status, procurement preference, financeability, consent, deployment authorization, or execution authority. Guild recommendations are expert inputs, not binding determinations unless separately adopted by competent records.
54.7.7 Guild Input Correction. Guild Inputs shall be corrected where expertise is overstated, conflicts are undisclosed, provider or sponsor language appears, public-safe boundaries are weak, national context is ignored, or guild recommendation is treated as approval.
54.7.8 Guild Input Formula. Guild Inputs shall follow the formula: capture expert depth; disclose basis and conflicts; route through review; correct expert overclaim; never let expertise become authority by itself.
54.8 Council Inputs
54.8.1 Council Input Identity. Council Inputs shall be intake items arising from Global, Regional, National, Leadership, Investors, Helix, Foundry, Architecture, Technical Review, Safeguards, Public-Safe, Readiness, National Routing, Public Authority Learning, and other Nexus council or panel surfaces. Council Inputs may include priorities, concerns, judgments, recommendations, candidate objects, review notes, stakeholder intelligence, readiness questions, public authority learning needs, safeguard concerns, Marketplace suggestions, Registry suggestions, Studio suggestions, and handoff dependency questions.
54.8.2 Council Input Purpose. Council Inputs shall convert structured participation and institutional judgment into Foundry records without converting council participation into governance authority, public authority approval, finance authority, procurement authority, consent, deployment authorization, or execution authority by default.
54.8.3 Council Input Record. Each Council Input shall have a Council Input Record identifying council or panel, meeting or process, participants where appropriate, conflicts disclosed, input class, source materials, recommendation or concern, affected object, national relevance, public authority relevance, finance or procurement sensitivity, community or Indigenous relevance where applicable, review requirements, correction pathway, archive rule, and prohibited interpretations.
54.8.4 Council Input Classes. Council Inputs may include agenda priorities, stakeholder maps, National Portfolio priorities, Investor Council readiness questions, public authority learning questions, safeguard concerns, public-safe concerns, technical review notes, architecture recommendations, Marketplace recommendations, Registry recommendations, Studio recommendations, Grid input recommendations, handoff dependency recommendations, correction requests, and non-continuation recommendations.
54.8.5 Council Conflict Discipline. Council Inputs shall record conflicts where relevant, including provider, sponsor, capital, public authority, political, institutional, national, regional, community, Indigenous, or personal interests. Conflict disclosure shall not automatically disqualify input but shall inform review and claims limits.
54.8.6 Council Input Boundary. Council discussion, recommendation, attendance, support, consensus, priority setting, or review note shall not create board approval, public authority approval, procurement status, financeability, insurability, community consent, Indigenous consent where applicable, deployment authorization, operational command, or execution authority unless a separate competent process creates that status.
54.8.7 Council Input Correction. Council Inputs shall be corrected where recommendations are misquoted, attendance is overstated, consensus is invented, conflicts are omitted, Investor Council input is treated as investment interest, public authority council input is treated as approval, or community or Indigenous participation is treated as consent.
54.8.8 Council Input Formula. Council Inputs shall follow the formula: record institutional judgment; disclose conflicts; route recommendations through review; preserve participation without authority; correct council overclaim; never let council input become approval, finance, procurement, consent, deployment, or execution.
54.9 Marketplace Inputs
54.9.1 Marketplace Input Identity. Marketplace Inputs shall be intake items arising from Nexus Marketplace or equivalent discovery surfaces, including listing requests, user interest signals, metadata corrections, support questions, dependency reports, security reports, usage feedback, localization requests, Studio-link requests, Registry-link issues, provider contribution requests, partner extension requests, delisting requests, and archive requests.
54.9.2 Marketplace Input Purpose. Marketplace Inputs shall convert discovery activity into support, correction, improvement, localization, public-safe review, security review, and lifecycle records without treating marketplace visibility or user demand as approval, endorsement, procurement signal, finance signal, or deployment authorization.
54.9.3 Marketplace Input Record. Each Marketplace Input shall have a Marketplace Input Record identifying object, listing class, user or requester class where appropriate, input type, source listing, metadata issue, support issue, dependency issue, security issue, national localization issue, Studio relationship, Registry relationship, provider or sponsor involvement, correction pathway, archive rule, and prohibited interpretations.
54.9.4 Marketplace Input Classes. Marketplace Inputs may include listing candidates, metadata updates, support requests, bug reports, vulnerability reports, dependency updates, user feedback, localization requests, Pack extension requests, connector requests, agent requests, dashboard requests, Studio runtime requests, Registry status questions, delisting requests, and archive requests.
54.9.5 Marketplace Demand Without Priority. Marketplace interest, downloads, searches, featured placement, user ratings where permitted, or partner requests shall not create production priority, procurement preference, financeability, provider validation, deployment priority, or support obligation beyond record. Demand is a signal for triage.
54.9.6 Marketplace Input Boundary. Marketplace Input shall not create recognition, certification, endorsement, procurement status, financeability, insurability, public authority approval, consent, deployment authorization, or execution authority.
54.9.7 Marketplace Input Correction. Marketplace Inputs shall be corrected where metadata is misleading, users misunderstand listing status, support is overstated, provider or sponsor influence appears, Registry status is stale, Studio status is misrepresented, or Marketplace interest is used as endorsement.
54.9.8 Marketplace Input Formula. Marketplace Inputs shall follow the formula: capture discovery signals; triage support and correction; preserve Registry truth; avoid demand overclaim; never let Marketplace interest become endorsement or deployment authority.
54.10 Public Authority Learning Inputs
54.10.1 Public Authority Learning Input Identity. Public Authority Learning Inputs shall be intake items arising from public authority learning sessions, technical briefings, evidence reviews, Observatory demonstrations, DRI discussions, Studio simulations, readiness sessions, safeguard discussions, National Portfolio discussions, policy-learning interactions, public-safe reporting discussions, and lawful handoff dependency conversations with public authorities.
54.10.2 Public Authority Learning Input Purpose. These Inputs shall capture questions, feedback, corrections, learning needs, data concerns, public-safe concerns, public authority boundary issues, national routing issues, readiness dependencies, and safeguard concerns without converting public authority participation into approval, adoption, warning, classification, procurement action, public finance allocation, regulatory comfort, emergency command, or policy decision.
54.10.3 Public Authority Learning Input Record. Each Public Authority Learning Input shall have a Public Authority Learning Input Record identifying public authority context, jurisdiction, session or process, learning purpose, source materials, feedback type, data class, confidentiality status, public-safe status, national routing, boundary language, correction requirement, archive rule, and prohibited interpretations.
54.10.4 Public Authority Learning Input Classes. Inputs may include questions, feedback, issue flags, data concerns, legal-boundary concerns, public-safe wording concerns, dashboard concerns, Observatory concerns, readiness questions, safeguard concerns, national routing requests, non-continuation notes, correction requests, and future learning needs.
54.10.5 Feedback Classification. Public authority feedback shall be classified as comment, question, request for clarification, correction input, learning need, dependency input, issue flag, or formal authority record where and only where a separate competent record supports that status. Informal feedback shall not be elevated.
54.10.6 Public Authority Learning Input Boundary. Public authority attendance, feedback, questions, suggestions, participation, silence, or encouragement shall not create official approval, warning, classification, regulatory finding, procurement status, public finance allocation, financeability, consent, deployment authorization, emergency command, or execution authority.
54.10.7 Public Authority Learning Input Correction. These Inputs shall be corrected where feedback is mischaracterized as approval, public authority status is overstated, public-safe language implies official meaning, or learning exchange is used to justify deployment or execution.
54.10.8 Public Authority Learning Input Formula. Public Authority Learning Inputs shall follow the formula: capture learning feedback; classify it accurately; preserve non-decision status; route corrections; never let public authority interaction become public authority action.
54.11 Readiness Inputs
54.11.1 Readiness Input Identity. Readiness Inputs shall be intake items that identify unresolved dependencies, readiness questions, TRL 1–10 input needs, support questions, data readiness issues, cyber readiness issues, AI readiness issues, public authority dependencies, procurement sensitivities, finance and insurance questions, donor and public finance relevance questions, safeguard conditions, national routing needs, and lawful handoff dependencies.
54.11.2 Readiness Input Purpose. Readiness Inputs shall help Foundry determine what must be clarified before continuation, release, Marketplace listing, Registry status, Studio runtime, Grid input, public authority learning, National Portfolio use, capital-reader review, insurance-reader review, donor-reader review, public finance relevance review, National Consortium Company consideration, Project SPV consideration, or lawful handoff.
54.11.3 Readiness Input Record. Each Readiness Input shall have a Readiness Input Record identifying source object, readiness question, dependency class, evidence basis, unresolved gap, public authority dependency, legal dependency, procurement dependency, finance or insurance dependency, donor or public finance dependency, data dependency, cyber dependency, AI dependency where applicable, safeguard dependency, support dependency, national routing, no-reliance language, correction pathway, archive rule, and prohibited claims.
54.11.4 Readiness Input Classes. Readiness Inputs may include technical readiness questions, TRL input questions, support readiness questions, data readiness issues, cyber readiness issues, AI readiness issues, public authority dependency questions, procurement-neutrality questions, finance-readiness questions, insurance-readiness questions, donor/public finance relevance questions, safeguard readiness questions, SPV-readiness questions, handoff readiness questions, and non-continuation readiness issues.
54.11.5 No-Reliance Intake. Readiness Inputs involving capital readers, insurers, donors, public finance actors, enterprise actors, National Consortium Companies, or Project SPVs shall be marked as no-reliance, non-advisory, non-soliciting, non-transactional, non-underwriting, non-commitment, competition-compliant, confidentiality-aware, and regulated-perimeter controlled.
54.11.6 Readiness Input Boundary. Readiness Input shall not create financeability, bankability, investability, insurability, underwriting acceptance, donor approval, public finance approval, procurement readiness, public authority approval, legal compliance, consent, deployment authorization, or execution authority.
54.11.7 Readiness Input Correction. Readiness Inputs shall be corrected where dependencies are omitted, assumptions change, finance or procurement language overclaims, no-reliance language is missing, public authority dependencies are misstated, safeguards are incomplete, or readiness questions are treated as transaction signals.
54.11.8 Readiness Input Formula. Readiness Inputs shall follow the formula: record unresolved dependencies; preserve no-reliance; route to competent review; correct assumptions; never let readiness questions become finance, procurement, approval, consent, deployment, or execution.
54.12 Safeguard Inputs
54.12.1 Safeguard Input Identity. Safeguard Inputs shall be intake items identifying actual, potential, perceived, or emerging safeguard issues affecting people, communities, Indigenous peoples and institutions where applicable, rights, data, privacy, cyber, AI, protected knowledge, accessibility, public-safe communication, geospatial sensitivity, infrastructure sensitivity, health sensitivity, public authority sensitivity, national routing, or lawful handoff.
54.12.2 Safeguard Input Purpose. Safeguard Inputs shall ensure that Foundry work does not proceed solely because it is technically possible, strategically attractive, finance-readable, public authority-relevant, or visible. Safeguard Inputs shall identify who or what may be affected, what conditions apply, what permissions may be required, what must be restricted, what requires review, and what may need correction, withdrawal, or non-continuation.
54.12.3 Safeguard Input Record. Each Safeguard Input shall have a Safeguard Input Record identifying affected object, safeguard domain, affected actors, data class, sensitivity class, risk pathway, required controls, permissions required where applicable, Indigenous protocol considerations where applicable, protected knowledge conditions, access restrictions, publication restrictions, output-review requirements, national routing, correction pathway, archive rule, and prohibited interpretations.
54.12.4 Safeguard Input Classes. Safeguard Inputs may include privacy concerns, cyber concerns, AI concerns, protected knowledge concerns, Indigenous protocol concerns where applicable, community concerns, accessibility concerns, public-safe communication concerns, health-data concerns, infrastructure sensitivity concerns, geospatial sensitivity concerns, public authority boundary concerns, consent boundary concerns, and handoff safeguard concerns.
54.12.5 Safeguard Triage Gate. Safeguard Inputs shall be triaged for immediacy, affected actors, severity, reversibility, data exposure, rights impact, public-safe risk, national routing, Indigenous protocol relevance where applicable, community impact, legal boundary, AI risk, cyber risk, public authority sensitivity, and need for stop, pause, restrict, correct, withdraw, or archive action.
54.12.6 Participation Without Consent. Safeguard Inputs shall preserve that participation, attendance, contribution, public authority learning, community input, Indigenous input where applicable, public-safe visibility, Studio interaction, Marketplace visibility, or Registry presence shall not create consent, protected knowledge permission, social license, rights waiver, deployment approval, or execution authorization unless separately and lawfully recorded.
54.12.7 Safeguard Input Boundary. Safeguard Input shall not create consent, legal compliance certification, public authority approval, deployment authorization, or execution authority. It creates safeguard review obligations and potential restrictions.
54.12.8 Safeguard Input Correction. Safeguard Inputs shall be corrected where affected actors are missed, risk is understated, consent is implied without record, protected knowledge is exposed, Indigenous protocols are missed where applicable, accessibility fails, public-safe language stigmatizes, or safeguard review is treated as approval.
54.12.9 Safeguard Input Formula. Safeguard Inputs shall follow the formula: identify affected people, data, rights, and knowledge; classify risk before exposure; pause where necessary; preserve consent boundaries; correct safeguard failures; never let technical possibility override safeguards.
54.13 Community and Indigenous Inputs Where Applicable
54.13.1 Community and Indigenous Input Identity. Community and Indigenous Inputs Where Applicable shall be intake items arising from communities, Indigenous peoples, Indigenous institutions, Tribal or First Nations bodies where applicable, local actors, civil society, public-interest organizations, youth, affected stakeholders, place-based institutions, rights advocates, accessibility advocates, protected-knowledge stewards, and other public-interest participants. Such Inputs may include lived-risk knowledge, local context, vulnerability information, resilience priorities, safeguard concerns, accessibility needs, protected knowledge restrictions, public-safe reporting feedback, implementation concerns, non-continuation concerns, and correction requests.
54.13.2 Community and Indigenous Input Purpose. These Inputs shall ensure that Foundry does not treat systems risk, technology deployment, observability, data use, public-safe reporting, readiness mapping, or handoff preparation as purely technical or institutional. They shall make affected-context knowledge visible while protecting against extraction, tokenization, consent overclaim, protected knowledge exposure, public-safe harm, and implementation bypass.
54.13.3 Community and Indigenous Input Record. Each Community or Indigenous Input shall have an Input Record identifying source class, context, affected place or community where appropriate and safe, sensitivity class, protected knowledge status, consent status if separately recorded, restrictions on use, restrictions on attribution, language and accessibility needs, public-safe conditions, national routing, safeguard review requirements, correction pathway, archive rule, and prohibited interpretations.
54.13.4 Protected Knowledge and Attribution. Inputs involving protected knowledge, Indigenous knowledge, community-sensitive information, sacred or culturally sensitive places, vulnerable populations, local risk information, or rights-sensitive contexts shall be governed by access restrictions, attribution controls, public-safe review, and use limitations. Foundry shall not extract or publish such knowledge merely because it was shared in an intake context.
54.13.5 Community Participation Without Consent. Community or Indigenous participation, attendance, contribution, feedback, data sharing, dashboard viewing, Studio interaction, public-safe review, public authority learning participation, Nexus Universe participation, or council participation shall not constitute community consent, Indigenous consent, protected knowledge permission, social license, rights waiver, deployment approval, or execution authorization unless separately and lawfully recorded through the appropriate process.
54.13.6 Community and Indigenous Input Triage. These Inputs shall be triaged for safeguard relevance, consent boundaries, protected knowledge handling, public-safe communication, data sensitivity, geospatial sensitivity, national routing, accessibility needs, language needs, readiness implications, handoff implications, correction requirements, and possible non-continuation.
54.13.7 Non-Extractive Use. Community and Indigenous Inputs shall be used in ways that respect context, restrictions, attribution preferences, public-safe conditions, and correction rights. They shall not be reduced to anecdotal evidence, decorative legitimacy, promotional material, sponsor narrative, provider validation, finance narrative, or consent proxy.
54.13.8 Community and Indigenous Input Correction. These Inputs shall be corrected, restricted, withdrawn, sealed, or archived where context is misrepresented, protected knowledge is exposed, consent is implied without record, translation alters meaning, public-safe reporting harms affected groups, or inputs are used to justify deployment or execution.
54.13.9 Community and Indigenous Input Formula. Community and Indigenous Inputs shall follow the formula: receive place-based knowledge with care; protect restrictions and attribution; preserve consent boundaries; avoid extraction and tokenization; correct harm; never let participation become consent or deployment authority.
54.14 Intake Record Requirements
54.14.1 Intake Record Identity. Every material intake item shall have an Intake Record before it moves into Foundry triage, production, review, release, Marketplace consideration, Registry consideration, Studio preparation, Grid input, readiness mapping, safeguard review, public authority learning, lawful handoff preparation, support, correction, teardown, or archive. The Intake Record shall be the first validity surface for incoming work.
54.14.2 Intake Record Purpose. Intake Records shall prevent informal work from becoming Foundry work without traceability. They shall establish what was received, where it came from, why it matters, who submitted it or routed it where appropriate, what object class it may become, what sensitivities apply, what boundaries apply, and what must happen next.
54.14.3 Required Intake Fields. Each Intake Record shall include, where applicable: 54.14.3(a) intake identifier; 54.14.3(b) intake date; 54.14.3(c) source pathway; 54.14.3(d) submitting actor or body where appropriate; 54.14.3(e) steward or intake owner; 54.14.3(f) proposed object class; 54.14.3(g) source records or attachments; 54.14.3(h) domain, sector, country, region, and node relevance; 54.14.3(i) data class and sensitivity class; 54.14.3(j) public authority sensitivity; 54.14.3(k) finance, insurance, donor, public finance, or procurement sensitivity; 54.14.3(l) community or Indigenous relevance where applicable; 54.14.3(m) public-safe implications; 54.14.3(n) safeguard implications; 54.14.3(o) AI, cyber, compute, network, or security implications; 54.14.3(p) support implications; 54.14.3(q) correction or incident relationship; 54.14.3(r) recommended Rail; 54.14.3(s) triage status; 54.14.3(t) prohibited interpretations.
54.14.4 Boundary Fields. Intake Records shall include no-conversion language stating that intake does not create approval, certification, recognition, public authority status, procurement status, financeability, insurability, consent, deployment authorization, operational command, or execution authority.
54.14.5 Source and Influence Disclosure. Intake Records shall disclose provider contribution, sponsor support, capital-reader interest, public authority interaction, community contribution, Indigenous contribution where applicable, university or research contribution, media visibility, and enterprise interest where material. Disclosure shall preserve context without converting contribution into validation.
54.14.6 Confidentiality and Access Fields. Intake Records shall define access class, confidentiality class, secure-room need, no-download need, national-only need, public-safe status, publication restriction, attribution restriction, and archive restriction where applicable.
54.14.7 Intake Record Correction. Intake Records shall be corrected where source, class, sensitivity, public-safe status, safeguard relevance, national routing, support implication, stakeholder role, or boundary language is wrong or incomplete.
54.14.8 Intake Record Formula. Intake Records shall follow the formula: record the source, object, context, sensitivity, boundary, and next route; disclose influence; restrict access where needed; correct intake errors; never let unrecorded input become Foundry production.
54.15 Intake Triage and Classification
54.15.1 Triage and Classification Identity. Intake Triage and Classification shall be the governed process by which Foundry reviews each Intake Record, assigns an initial object class, determines sensitivity, identifies required Rails, flags dependencies, routes for review, pauses unsuitable work, rejects unsafe work, creates correction actions, or archives non-continuation. Triage shall be the first decision about pathway, not a substantive approval of the work.
54.15.2 Triage Purpose. Triage shall determine what the intake item is, whether it belongs in Foundry, what risks it carries, what records are missing, what reviews are required, what national routing is needed, what public-safe controls apply, what safeguards apply, what support burden may arise, what correction or incident pathways are implicated, and whether the item should proceed, pause, restrict, redirect, reject, or archive.
54.15.3 Classification Dimensions. Intake classification shall include, where applicable: 54.15.3(a) object class; 54.15.3(b) Rail class; 54.15.3(c) Pack class; 54.15.3(d) Profile needs; 54.15.3(e) data class; 54.15.3(f) security class; 54.15.3(g) AI class; 54.15.3(h) public-safe class; 54.15.3(i) national routing class; 54.15.3(j) public authority sensitivity class; 54.15.3(k) finance and procurement sensitivity class; 54.15.3(l) safeguard class; 54.15.3(m) support class; 54.15.3(n) Marketplace eligibility class; 54.15.3(o) Registry need class; 54.15.3(p) Studio suitability class; 54.15.3(q) Grid relevance class; 54.15.3(r) handoff proximity class; 54.15.3(s) archive class.
54.15.4 Triage Outcomes. Triage outcomes may include proceed to Rail, proceed to evidence review, proceed to safeguard review, proceed to national routing, proceed to public-safe review, proceed to technical review, proceed to AI review, proceed to security review, proceed to readiness mapping, proceed to Studio review, proceed to Marketplace review, proceed to Registry review, proceed to Grid input review, proceed to Lawful Handoff Rail, pause pending records, restrict access, secure-room only, no-download only, return for clarification, create correction record, create incident record, reject as out of scope, archive as non-continuation, or refer outside Foundry.
54.15.5 Most-Restrictive Triage Rule. Where classification is uncertain or multiple classifications apply, the most restrictive reasonable classification shall control until corrected by competent review. Ambiguity shall not be used to move work faster, publish earlier, expose data, weaken safeguards, bypass national routing, create readiness claims, or approach handoff.
54.15.6 Triage Conflicts and Capture Controls. Triage shall identify conflicts, sponsor influence, provider influence, public authority ambiguity, capital-reader pressure, media pressure, event pressure, institutional prestige pressure, national bypass risk, regional supremacy risk, and enterprise-stack collapse risk. Pressure to advance an intake item shall not substitute for evidence, review, safeguards, or lawful routing.
54.15.7 Triage Boundary. A triage outcome, classification label, Rail assignment, Pack assignment, Profile assignment, Marketplace eligibility note, Registry need note, Studio suitability note, Grid relevance note, or handoff proximity note shall not create approval, certification, procurement status, financeability, insurability, public authority approval, consent, deployment authorization, or execution authority.
54.15.8 Triage Correction and Appeal. Triage classifications may be corrected where facts change, records are added, sensitivity is reclassified, national routing is required, safeguards appear, support status changes, or initial triage was wrong. Correction shall be recorded. Appeal or reconsideration shall not suspend restrictions unless competent review permits.
54.15.9 Final Foundry Intake Formula. The controlling Foundry Intake Formula is that Intake Sources identify where work enters; Acceleration Objects convert program activity into production candidates; Nexus Core Build Outputs convert temporary build into permanent records; Nexus Universe Outputs convert annual surge into durable memory; National Portfolio Inputs preserve national ownership; Observatory Inputs convert visibility into bounded signals; Guild Inputs bring expert depth without authority; Council Inputs bring institutional judgment without approval; Marketplace Inputs convert discovery into lifecycle signals; Public Authority Learning Inputs capture learning without substitution; Readiness Inputs map dependencies without reliance; Safeguard Inputs protect people, rights, data, and knowledge; Community and Indigenous Inputs preserve context without consent overclaim; Intake Records make entry valid by record; and Intake Triage and Classification route work by risk, evidence, safeguards, national ownership, support, correction, and lifecycle discipline. No intake source, intake item, intake record, triage label, classification, recommendation, participation, visibility, contribution, feedback, or routing outcome creates recognition, certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, operational command, or execution authority by implication.
55. Foundry Backlog
55.1 Backlog Definition
55.1.1 Backlog Identity. The Foundry Backlog shall be the governed, record-bearing, prioritized, classified, reviewable, support-aware, correctionable, and archive-ready body of work items that have entered Nexus Foundry through Intake and have not yet been completed, released, listed, registered, supported, corrected, withdrawn, routed for lawful handoff, archived, or closed. The Backlog shall convert intake into organized production demand while preserving evidence discipline, public-good purpose, national routing, safeguard obligations, support limits, and non-execution boundaries.
55.1.2 Backlog Purpose. The purpose of the Foundry Backlog shall be to prevent Foundry work from being driven by informal urgency, event pressure, sponsor influence, provider preference, public authority ambiguity, capital-reader interest, media visibility, institutional prestige, personal enthusiasm, or technical novelty alone. The Backlog shall make visible what work exists, why it matters, what class it belongs to, what dependencies remain, what risks apply, what reviews are required, what support may be needed, what records must be produced, and what conditions must be satisfied before any downstream status may be considered.
55.1.3 Backlog as Institutional Memory. The Backlog shall not be a simple task list. It shall be an institutional memory and production-control surface connecting Intake Records, Rails, Packs, Profiles, Schemas, Connectors, Agents, Dashboards, Evidence Products, Readiness Products, Safeguard Products, Deployment Units, Marketplace Objects, Registry Objects, Studio Runtime Packages, National Portfolio items, Core Build outputs, Universe Arena outputs, correction records, support records, archive records, and lawful handoff dependency packages.
55.1.4 Backlog Record. Each Backlog item shall have a Backlog Record identifying the item title, intake source, source records, object class, backlog class, Rail relationship, Pack relationship where applicable, Profile needs, domain, sector, country or region relevance, data class, security class, AI class, public-safe class, safeguard class, readiness class, national routing class, support implication, Marketplace / Registry / Studio relationship, priority basis, dependencies, blockers, assigned steward, reviewers where applicable, due cycle where applicable, correction pathway, archive rule, and prohibited interpretations.
55.1.5 Backlog Status Classes. Backlog status may include intake-pending, triaged, ready-for-refinement, blocked, records-missing, evidence-pending, safeguard-pending, public-safe-review-pending, national-routing-pending, technical-review-pending, security-review-pending, AI-review-pending, readiness-review-pending, support-review-pending, Core-Build-candidate, Universe-Arena-candidate, Marketplace-candidate, Registry-candidate, Studio-candidate, Grid-input-candidate, handoff-candidate, in-progress, review-ready, correction-required, suspended, withdrawn, non-continuation, archived, or completed-by-record.
55.1.6 Backlog Boundary. Backlog presence, priority level, sprint selection, Core Build selection, Universe Arena selection, council interest, Guild recommendation, public authority interest, capital-reader interest, sponsor support, provider contribution, or National Portfolio relationship shall not create approval, certification, recognition, procurement status, financeability, insurability, public authority approval, community consent, Indigenous consent where applicable, deployment authorization, operational command, or execution authority.
55.1.7 Backlog Integrity. No Backlog item shall proceed to production, release, Marketplace, Registry, Studio, Grid input, public authority learning, readiness mapping, lawful handoff, or archive unless its required Backlog Record fields and required dependencies are sufficient for its pathway. Missing records shall be treated as blockers, not as administrative inconvenience.
55.1.8 Backlog Correction. Backlog Records shall be corrected where object class is wrong, priority is distorted, dependency is omitted, support burden is understated, safeguard relevance is missed, public-safe status is overclaimed, national routing is bypassed, provider or sponsor influence is hidden, or backlog placement is used as approval or execution claim.
55.1.9 Backlog Formula. The Foundry Backlog shall operate according to the formula: convert intake into organized work; classify before prioritizing; expose dependencies; route by risk and public-good value; block unsafe acceleration; correct priority drift; archive non-continuation; never let backlog presence or priority become approval, consent, deployment, or execution.
55.2 Backlog Classes
55.2.1 Backlog Class Identity. Backlog Classes shall be the controlled categories through which Foundry groups work according to object type, production pathway, institutional purpose, review need, support burden, national relevance, safeguard relevance, and lifecycle stage. Backlog Classes shall allow Foundry to manage different kinds of work without forcing all work into generic software-task logic.
55.2.2 Backlog Class Purpose. Backlog Classes shall preserve that Foundry is not merely a product shop, software factory, event team, accelerator, research program, publication office, or marketplace operator. Foundry work includes technical objects, institutional objects, evidence objects, public-safe objects, learning objects, readiness objects, safeguard objects, national portfolio objects, Studio runtime objects, Marketplace and Registry objects, correction objects, support objects, and archive objects.
55.2.3 Core Backlog Classes. Backlog Classes shall include Program Backlogs, Rail Backlogs, Pack Backlogs, Profile Backlogs, Schema and Ontology Backlogs, Connector Backlogs, Agent Backlogs, Dashboard Backlogs, Evidence Product Backlogs, Safeguard Backlogs, Readiness Backlogs, National Portfolio Backlogs, Core Build Backlogs, Universe Arena Backlogs, Marketplace Backlogs, Registry Backlogs, Studio Backlogs, Support Backlogs, Correction Backlogs, Archive Backlogs, Teardown Backlogs, and Lawful Handoff Backlogs.
55.2.4 Backlog Class Record. Each Backlog Class shall have a Backlog Class Record identifying purpose, eligible item types, required records, review gates, dependency types, priority criteria, support implications, public-safe implications, national routing triggers, safeguard triggers, completion states, correction pathway, archive rule, and prohibited interpretations.
55.2.5 Class-Specific Controls. Each Backlog Class shall carry class-specific controls. A Dashboard Backlog shall require visualization and public-safe review. A Connector Backlog shall require API, data, security, and egress review. An Agent Backlog shall require AI Plane and tool-permission review. A Readiness Backlog shall require no-reliance and boundary review. A National Portfolio Backlog shall require national routing. A Handoff Backlog shall require dependency mapping and recipient-responsibility language.
55.2.6 Cross-Class Backlog Items. A single item may belong to multiple Backlog Classes where appropriate. A national DRI dashboard may belong to Observatory, DRI, Dashboard, National Portfolio, Public Authority Learning, Readiness, Safeguard, Marketplace, Registry, and Studio Backlogs. Cross-class status shall not reduce review; the most restrictive applicable class controls shall apply until corrected.
55.2.7 Backlog Class Boundary. Assignment to a Backlog Class shall not create maturity, approval, certification, public authority status, procurement status, financeability, consent, deployment authorization, or execution authority. Classification determines handling only.
55.2.8 Backlog Class Correction. Backlog Class assignments shall be corrected where class is wrong, missing classes hide risk, class selection bypasses review, cross-class dependencies are omitted, or class labels are used as status claims.
55.2.9 Backlog Class Formula. Backlog Classes shall follow the formula: classify work by object, pathway, risk, and lifecycle; apply class-specific controls; use most-restrictive classification for ambiguity; correct class drift; never let category become approval.
55.3 Program Backlogs
55.3.1 Program Backlog Identity. Program Backlogs shall be the organized work queues associated with Foundry program families, including Nexus Acceleration, Nexus Network, Nexus Universe, Nexus Observatory, Nexus Rails, Nexus Academy, Nexus Grid, Nexus Competence Cells, National Nexus Programs, public-good software and technical baseline programs, evidence and methods programs, readiness and GRA-supported programs, public-safe legitimacy and GRF-supported programs, technical evidence and GCRI-supported programs, safeguard programs, lawful handoff programs, and public authority learning programs.
55.3.2 Program Backlog Purpose. Program Backlogs shall translate strategic program purpose into actionable Foundry work while preserving program boundaries. They shall prevent broad program ambition from becoming unmanaged task proliferation, unreviewed outputs, unsupported products, overclaimed public materials, or premature handoff.
55.3.3 Program Backlog Record. Each Program Backlog shall have a Program Backlog Record identifying program family, program purpose, cycle, steward, related institutions, source Intake Records, work item classes, priority criteria, national or regional relevance, public-safe implications, safeguard implications, support implications, expected outputs, review gates, correction pathway, archive rule, and prohibited interpretations.
55.3.4 Program Work Item Classes. Program Backlogs may include challenge briefs, Quests, Bounties, Builds, Packs, Profiles, schemas, connectors, agents, dashboards, evidence products, readiness products, safeguard products, Academy materials, Studio candidates, Marketplace candidates, Registry records, Core Build candidates, Universe Arena candidates, correction items, support items, and archive items.
55.3.5 Program Alignment. Each Program Backlog item shall identify the program objective it supports and the record that justifies its inclusion. Program alignment shall be tested against public-good value, evidence need, national relevance, reuse potential, safeguard need, support capacity, correction urgency, and lifecycle responsibility.
55.3.6 Program Boundary. Program inclusion, sponsorship, leadership interest, council support, public authority learning relevance, capital-reader interest, or Nexus Universe visibility shall not create approval, financeability, procurement status, public authority status, consent, deployment authorization, or execution authority.
55.3.7 Program Backlog Correction. Program Backlogs shall be corrected where program scope drifts, priority is captured, sponsor or provider influence distorts sequencing, public-safe outputs overclaim, support obligations are ignored, or program inclusion is used as endorsement.
55.3.8 Program Backlog Formula. Program Backlogs shall follow the formula: translate strategy into classified work; bind work to program purpose; prioritize by public-good value and dependency; prevent program drift; never let program inclusion become approval or execution.
55.4 Rail Backlogs
55.4.1 Rail Backlog Identity. Rail Backlogs shall be work queues organized by Nexus Rails, including Evidence Rails, Observatory Rails, Readiness Rails, Public Authority Learning Rails, National Node Rails, Marketplace Rails, Registry Rails, Studio Runtime Rails, Grid Rails, Archive Rails, Correction Rails, Teardown Rails, and Lawful Handoff Rails.
55.4.2 Rail Backlog Purpose. Rail Backlogs shall make pathway-specific work visible and manageable. They shall show which items are awaiting evidence review, observability validation, readiness mapping, public authority learning preparation, national routing, Marketplace review, Registry recording, Studio preparation, Grid input review, archive, teardown, correction, or handoff dependency mapping.
55.4.3 Rail Backlog Record. Each Rail Backlog shall have a Rail Backlog Record identifying Rail name, object classes, items queued, status states, entry dates, blockers, required records, required reviewers, public-safe triggers, safeguard triggers, national routing triggers, support implications, exit conditions, correction pathway, archive rule, and prohibited interpretations.
55.4.4 Rail Queue Discipline. Rail Backlog items shall not bypass queue discipline because of sponsor pressure, provider urgency, public authority attention, media visibility, event timing, capital-reader interest, or internal preference. Escalation may occur only by recorded priority criteria and shall not remove required review gates.
55.4.5 Rail Dependency Management. Rail Backlogs shall identify upstream and downstream dependencies. An Evidence Rail item may block a Readiness Rail item. A Safeguard review may block a Marketplace Rail item. A National Node Rail item may block a Studio Runtime Rail item. A Registry Rail update may be required before Marketplace listing.
55.4.6 Rail Backlog Boundary. Presence or advancement in a Rail Backlog shall not create approval, certification, financeability, procurement status, public authority status, consent, deployment authorization, or execution authority.
55.4.7 Rail Backlog Correction. Rail Backlogs shall be corrected where items are misrouted, dependencies are omitted, review gates are skipped, national routing is bypassed, public-safe review is incomplete, or Rail movement is overclaimed.
55.4.8 Rail Backlog Formula. Rail Backlogs shall follow the formula: queue work by pathway; expose blockers; respect required gates; escalate only by record; correct misrouting; never let Rail queue movement become approval.
55.5 Pack Backlogs
55.5.1 Pack Backlog Identity. Pack Backlogs shall be work queues for creating, updating, localizing, reviewing, supporting, correcting, retiring, and archiving Foundry Packs, including Domain Packs, Sector Packs, National Packs, Regional Packs, Observatory Packs, DRI Packs, Public Authority Learning Packs, Readiness Packs, Safeguard Packs, Academy Packs, Marketplace Packs, Studio Runtime Packs, Handoff Packs, and Teardown and Archive Packs.
55.5.2 Pack Backlog Purpose. Pack Backlogs shall turn repeated needs into reusable capability while preventing uncontrolled pack proliferation, unsupported bundles, hidden dependencies, provider-shaped packages, sponsor-shaped narratives, localization drift, and handoff overclaim.
55.5.3 Pack Backlog Record. Each Pack Backlog item shall have a Pack Backlog Record identifying Pack class, source need, source records, included components, missing components, intended users, localization needs, data requirements, AI requirements, support implications, public-safe review needs, safeguard review needs, Marketplace or Registry relationship, Studio relationship where applicable, handoff relationship where applicable, correction pathway, archive rule, and prohibited interpretations.
55.5.4 Pack Build States. Pack Backlog status may include concept, component-inventory, source-record-pending, draft-pack, composition-review, localization-review, support-review, public-safe-review, safeguard-review, release-candidate, Registry-candidate, Marketplace-candidate, Studio-candidate, handoff-candidate, correction-required, deprecated, withdrawn, archived, or reinstated.
55.5.5 Pack Composition Controls. Pack Backlogs shall track component dependencies and composition risks. A Pack shall not be advanced merely because its individual components exist; composition may create new data, AI, security, support, public-safe, safeguard, provider-neutrality, and handoff risks.
55.5.6 Pack Backlog Boundary. Pack backlog inclusion, completion, release candidate status, Marketplace candidate status, or Registry candidate status shall not create certification, procurement bundle status, financeability, public authority approval, consent, deployment authorization, or execution authority.
55.5.7 Pack Backlog Correction. Pack Backlogs shall be corrected where Pack scope is too broad, dependencies are hidden, support is overstated, localization forks meaning, provider neutrality fails, or Pack status is used as solution approval.
55.5.8 Pack Backlog Formula. Pack Backlogs shall follow the formula: bundle repeated needs into reusable capability; inventory components; review composition; localize with lineage; correct Pack drift; never let Pack work become approved solution status.
55.6 Connector Backlogs
55.6.1 Connector Backlog Identity. Connector Backlogs shall be work queues for designing, reviewing, implementing, testing, securing, supporting, correcting, retiring, and archiving Connectors, APIs, integrations, webhooks, data links, Registry links, Marketplace links, Studio links, Observatory links, National Node exchanges, secure-room pathways, compute-to-data pathways, and handoff interfaces.
55.6.2 Connector Backlog Purpose. Connector Backlogs shall ensure that interoperability work is governed as authority-sensitive infrastructure. They shall prevent unmanaged data movement, uncontrolled APIs, hidden egress, broken schema mappings, stale links, provider lock-in, national routing bypass, and connection-as-permission overclaim.
55.6.3 Connector Backlog Record. Each Connector Backlog item shall have a Connector Backlog Record identifying connector class, source system, destination system, data classes, metadata classes, schema dependencies, API dependencies, authentication method, authorization basis, security controls, egress rules, national routing relevance, public-safe implications, support implications, test requirements, teardown rule, correction pathway, archive rule, and prohibited interpretations.
55.6.4 Connector Work States. Connector Backlog status may include connector-concept, schema-mapping-pending, API-design-pending, security-review-pending, data-review-pending, national-routing-review-pending, secure-room-review-pending, interoperability-test-pending, support-review-pending, implementation-ready, restricted, suspended, retired, archived, or corrected.
55.6.5 Connector Risk Controls. Connector Backlogs shall prioritize review of connectors involving restricted data, AI systems, secure rooms, public authority-sensitive materials, national data, geospatial sensitivity, protected knowledge, Indigenous-sensitive knowledge where applicable, Registry states, Marketplace listings, Studio runtimes, and handoff packages.
55.6.6 Connector Backlog Boundary. Connector backlog inclusion, API design, interoperability test, successful sync, or implementation-ready status shall not create data permission, public authority approval, procurement status, financeability, consent, deployment authorization, or execution authority.
55.6.7 Connector Backlog Correction. Connector Backlogs shall be corrected where data flows are wrong, schema mappings lose meaning, security controls are missing, egress risk appears, API access is overbroad, national routing is bypassed, or connector work is treated as permission.
55.6.8 Connector Backlog Formula. Connector Backlogs shall follow the formula: queue interfaces as governed surfaces; map data and authority-sensitive fields; secure before activation; test meaning, not only connectivity; retire when purpose ends; never let connection become permission.
55.7 Agent Backlogs
55.7.1 Agent Backlog Identity. Agent Backlogs shall be work queues for proposing, designing, registering, configuring, testing, red-teaming, deploying within controlled environments, supporting, correcting, suspending, retiring, and archiving AI agents and agentic workflows used by Foundry.
55.7.2 Agent Backlog Purpose. Agent Backlogs shall prevent AI agents from emerging informally through prompts, scripts, notebooks, plugins, workflow automations, Studio experiments, or contributor tools without model registration, system registration, agent registration, tool-permission review, data-permission review, public-safe controls, human-review rules, and shutdown conditions.
55.7.3 Agent Backlog Record. Each Agent Backlog item shall have an Agent Backlog Record identifying agent name, proposed purpose, model dependencies, system dependencies, data classes, tool permissions, autonomy level, memory rules, retrieval scope, logging rules where appropriate, human approval points, output-review requirements, red-team requirements, public-safe controls, support implications, shutdown triggers, correction pathway, archive rule, and prohibited claims.
55.7.4 Agent Work States. Agent Backlog status may include concept, model-review-pending, system-review-pending, tool-review-pending, data-review-pending, memory-review-pending, red-team-pending, human-review-design-pending, Studio-only, secure-room-only, restricted, support-review-pending, active-by-record, suspended, retired, archived, or corrected.
55.7.5 Agent Risk Controls. Agent Backlogs shall apply heightened scrutiny where an agent can use tools, access restricted data, write records, affect Registry or Marketplace metadata, run in Studio, interact with public authority learning materials, summarize finance-readable materials, interpret consent-sensitive materials, or prepare handoff packages.
55.7.6 Agent Backlog Boundary. Agent backlog inclusion, successful test, red-team note, Studio activation, or support status shall not create AI certification, public authority approval, procurement status, financeability, consent, deployment authorization, operational command, or execution authority.
55.7.7 Agent Backlog Correction. Agent Backlogs shall be corrected where agents overreach, tool permissions are excessive, data access is overbroad, memory rules are unsafe, claims controls fail, human review is missing, or agent output is treated as authority.
55.7.8 Agent Backlog Formula. Agent Backlogs shall follow the formula: register before activation; restrict data and tools; red-team high-risk agents; require human review; suspend on drift; never let agent capability become hidden authority.
55.8 Dashboard Backlogs
55.8.1 Dashboard Backlog Identity. Dashboard Backlogs shall be work queues for designing, reviewing, building, validating, supporting, correcting, withdrawing, and archiving Dashboards and Visualization Systems, including public-safe, controlled, restricted, Observatory, DRI, digital twin, readiness, National Portfolio, Marketplace, Registry, Studio, support, correction, and archive dashboards.
55.8.2 Dashboard Backlog Purpose. Dashboard Backlogs shall ensure visualization work is treated as interpretive and authority-sensitive. They shall prevent data displays from becoming false warnings, ratings, readiness approvals, finance signals, procurement signals, public authority signals, consent signals, deployment signals, or operational commands.
55.8.3 Dashboard Backlog Record. Each Dashboard Backlog item shall have a Dashboard Backlog Record identifying dashboard class, purpose, audience, source records, source data, indicators, geospatial layers, AI involvement where applicable, visualization design, labels required, public-safe class, access class, confidence label, uncertainty label, drift label, national routing, safeguard conditions, support implications, correction pathway, withdrawal pathway, archive rule, and prohibited interpretations.
55.8.4 Dashboard Work States. Dashboard Backlog status may include concept, source-record-pending, data-review-pending, indicator-review-pending, geospatial-review-pending, public-safe-design-pending, access-review-pending, safeguard-review-pending, national-routing-review-pending, label-review-pending, prototype, Studio-candidate, public-safe-candidate, restricted-only, supported, withdrawn, archived, or corrected.
55.8.5 Dashboard Design Controls. Dashboard Backlogs shall require review of colors, thresholds, ranks, scores, icons, maps, legends, labels, export functions, screenshots, public links, and dashboard summaries where public meaning or reliance risk exists.
55.8.6 Dashboard Backlog Boundary. Dashboard backlog inclusion, prototype completion, public-safe candidate status, Studio candidate status, or Registry linkage shall not create public warning, official classification, procurement status, financeability, public authority approval, consent, deployment authorization, or execution authority.
55.8.7 Dashboard Backlog Correction. Dashboard Backlogs shall be corrected where dashboards omit labels, show stale data, expose sensitive information, imply warnings or ratings, overstate readiness, or are treated as decision authority.
55.8.8 Dashboard Backlog Formula. Dashboard Backlogs shall follow the formula: treat visualization as interpretation; review source, labels, and design; restrict sensitive displays; correct misleading dashboards; never let dashboard work become warning or approval.
55.9 Evidence Product Backlogs
55.9.1 Evidence Product Backlog Identity. Evidence Product Backlogs shall be work queues for producing, reviewing, updating, correcting, withdrawing, and archiving Evidence Products, including Evidence Packs, Method Records, Benchmark Cards, Dataset Cards, Model Cards, System Cards, Test Reports, Simulation Notes, Observatory Evidence Notes, DRI Evidence Notes, Readiness Evidence Notes, Safeguard Evidence Notes, Public-Safe Evidence Summaries, and Handoff Evidence Annexes.
55.9.2 Evidence Product Backlog Purpose. Evidence Product Backlogs shall prevent Foundry claims, dashboards, Packs, Deployment Units, readiness products, public authority learning materials, Marketplace listings, Registry records, Studio packages, and handoff packages from advancing without adequate source, method, uncertainty, limitation, and review records.
55.9.3 Evidence Product Backlog Record. Each Evidence Product Backlog item shall have an Evidence Product Backlog Record identifying evidence question, source records, data sources, methods, analysis needs, AI involvement where applicable, compute environment, reviewer roles, uncertainty issues, limitation issues, public-safe implications, downstream dependencies, correction pathway, archive rule, and prohibited claims.
55.9.4 Evidence Work States. Evidence Product Backlog status may include evidence-question-draft, source-pending, data-quality-review-pending, method-review-pending, analysis-in-progress, uncertainty-review-pending, public-safe-review-pending, safeguard-review-pending, reviewed-with-limitations, restricted, public-safe, superseded, withdrawn, archived, or corrected.
55.9.5 Evidence Dependency Blocking. Evidence Product Backlogs shall block downstream work where evidence is required for public-safe reporting, readiness mapping, Grid input, Deployment Unit packaging, Marketplace listing, Registry status, Studio runtime, public authority learning, or handoff dependency package.
55.9.6 Evidence Product Backlog Boundary. Evidence backlog inclusion, evidence review, or evidence product completion shall not create certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
55.9.7 Evidence Product Backlog Correction. Evidence Product Backlogs shall be corrected where source records are weak, methods are flawed, uncertainty is hidden, AI output is unreviewed, evidence is generalized beyond scope, or evidence is treated as approval.
55.9.8 Evidence Product Backlog Formula. Evidence Product Backlogs shall follow the formula: ask the evidence question; attach sources and methods; label uncertainty; block unsupported claims; correct evidence drift; never let evidence production become approval.
55.10 Safeguard Backlogs
55.10.1 Safeguard Backlog Identity. Safeguard Backlogs shall be work queues for identifying, reviewing, resolving, correcting, monitoring, withdrawing, and archiving safeguard issues relating to people, rights, communities, Indigenous peoples and institutions where applicable, protected knowledge, data, privacy, cyber, AI, accessibility, public-safe communication, geospatial sensitivity, infrastructure sensitivity, health sensitivity, public authority sensitivity, national routing, and lawful handoff.
55.10.2 Safeguard Backlog Purpose. Safeguard Backlogs shall ensure that Foundry work does not advance because it is technically attractive, strategically urgent, sponsor-supported, provider-ready, finance-readable, public authority-relevant, or event-visible while unresolved safeguard issues remain. Safeguards shall be treated as production dependencies.
55.10.3 Safeguard Backlog Record. Each Safeguard Backlog item shall have a Safeguard Backlog Record identifying affected object, safeguard domain, affected actors, data class, sensitivity class, risk pathway, required controls, permissions required where applicable, Indigenous protocol considerations where applicable, protected knowledge conditions, access restrictions, publication restrictions, output-review requirements, national routing, correction pathway, archive rule, and prohibited interpretations.
55.10.4 Safeguard Work States. Safeguard Backlog status may include safeguard-intake, risk-classification-pending, affected-actor-review-pending, data-review-pending, protected-knowledge-review-pending, Indigenous-protocol-review-pending where applicable, accessibility-review-pending, public-safe-review-pending, national-routing-review-pending, control-design-pending, resolved-with-conditions, unresolved-blocking, restricted, withdrawn, archived, or corrected.
55.10.5 Safeguard Blocking Authority. Safeguard Backlog items may block release, publication, Marketplace listing, Registry display, Studio runtime, public authority learning use, readiness use, National Portfolio use, Grid input, Deployment Unit packaging, or lawful handoff where unresolved risk could create harm or overclaim.
55.10.6 Participation Without Consent. Safeguard Backlogs shall preserve that participation, contribution, dashboard viewing, Studio interaction, Nexus Universe visibility, public authority learning, community input, or Indigenous input where applicable shall not create consent, protected knowledge permission, social license, deployment approval, or execution authorization unless separately and lawfully recorded.
55.10.7 Safeguard Backlog Boundary. Safeguard backlog review, resolved-with-conditions status, or safeguard record completion shall not create legal compliance certification, consent, public authority approval, deployment authorization, or execution authority.
55.10.8 Safeguard Backlog Correction. Safeguard Backlogs shall be corrected where affected actors are missed, risks are understated, controls are weak, consent is implied without record, protected knowledge is exposed, Indigenous protocols are missed where applicable, or safeguard status is treated as approval.
55.10.9 Safeguard Backlog Formula. Safeguard Backlogs shall follow the formula: treat safeguards as blockers when needed; identify affected actors and knowledge; impose controls before exposure; preserve consent boundaries; correct safeguard failures; never let speed override protection.
55.11 Readiness Backlogs
55.11.1 Readiness Backlog Identity. Readiness Backlogs shall be work queues for creating, reviewing, updating, correcting, restricting, archiving, and routing readiness questions, dependency maps, TRL 1–10 inputs, support readiness notes, data readiness notes, cyber readiness notes, AI readiness notes, public authority dependency notes, procurement-neutrality notes, finance-readiness mappings, insurance-readiness mappings, donor and public finance relevance mappings, SPV-readiness notes, National Consortium Company readiness notes, and handoff readiness notes.
55.11.2 Readiness Backlog Purpose. Readiness Backlogs shall make unresolved dependencies visible before any object is advanced toward release, Marketplace listing, Registry status, Studio runtime, public authority learning, capital-reader review, National Portfolio inclusion, Grid input, Deployment Unit packaging, or lawful handoff. Readiness Backlogs shall prevent readiness language from becoming finance, procurement, approval, consent, deployment, or execution language.
55.11.3 Readiness Backlog Record. Each Readiness Backlog item shall have a Readiness Backlog Record identifying object, readiness purpose, evidence basis, dependency class, unresolved question, public authority dependency, legal dependency, procurement dependency, finance and insurance dependency, donor and public finance dependency, data dependency, cyber dependency, AI dependency where applicable, safeguard dependency, support dependency, national routing, no-reliance language, correction pathway, archive rule, and prohibited claims.
55.11.4 Readiness Work States. Readiness Backlog status may include readiness-intake, dependency-mapping, evidence-pending, no-reliance-review-pending, public-authority-dependency-review, procurement-neutrality-review, finance-boundary-review, insurance-boundary-review, data-dependency-review, cyber-dependency-review, safeguard-dependency-review, national-routing-review, readiness-questions-issued, restricted, corrected, withdrawn, archived, or handoff-ready-with-dependencies.
55.11.5 No-Reliance Controls. Readiness Backlog items involving capital readers, insurers, donors, public finance actors, enterprise actors, National Consortium Companies, Project SPVs, or public authorities shall preserve no-reliance, non-advisory, non-soliciting, non-transactional, non-underwriting, non-commitment, competition-compliant, confidentiality-aware, and regulated-perimeter language.
55.11.6 Readiness Backlog Boundary. Readiness backlog inclusion, dependency mapping, TRL input, no-reliance review, or readiness question completion shall not create financeability, bankability, insurability, investment advice, donor approval, public finance approval, procurement readiness, public authority approval, legal compliance, consent, deployment authorization, or execution authority.
55.11.7 Readiness Backlog Correction. Readiness Backlogs shall be corrected where dependencies are omitted, no-reliance language is weak, finance language overclaims, procurement neutrality fails, public authority pathways are misstated, safeguards are incomplete, or readiness is treated as transaction signal.
55.11.8 Readiness Backlog Formula. Readiness Backlogs shall follow the formula: map unresolved conditions; preserve no-reliance; separate TRL from approval; route to competent actors; correct readiness overclaim; never let readiness become finance, procurement, consent, deployment, or execution.
55.12 National Portfolio Backlogs
55.12.1 National Portfolio Backlog Identity. National Portfolio Backlogs shall be country-level work queues for National Nexus Nodes, National Nexus Consortiums, National Councils, Helix Councils, National Working Groups, Competence Cells, National Dense Nexus Cores, public authority learning pathways, national observability, national readiness mapping, national safeguard review, national Studio preparation, national Marketplace context, national Registry records, and national lawful handoff preparation.
55.12.2 National Portfolio Backlog Purpose. National Portfolio Backlogs shall preserve national ownership before local delivery by organizing country-relevant work through national pathways. They shall prevent global, regional, sponsor, provider, capital-reader, public authority-adjacent, or enterprise actors from bypassing national routing, national data controls, national safeguards, national public authority learning, and lawful national handoff conditions.
55.12.3 National Portfolio Backlog Record. Each National Portfolio Backlog item shall have a National Portfolio Backlog Record identifying country, National Node pathway, source records, national priority relationship, object class, domain, sector, data class, public authority sensitivity, community safeguard relevance, Indigenous protocol relevance where applicable, language needs, accessibility needs, national support status, readiness relevance, handoff relevance, correction pathway, archive rule, and prohibited interpretations.
55.12.4 National Work States. National Portfolio Backlog status may include national-intake, localization-pending, translation-pending, data-residency-review, public-authority-boundary-review, community-safeguard-review, Indigenous-protocol-review where applicable, National Working Group review, Competence Cell review, National Portfolio candidate, national-public-safe-ready, national-restricted, national-Studio-candidate, national-Marketplace-candidate, national-Registry-candidate, national-handoff-review, non-continuation, archived, or corrected.
55.12.5 National Blocking Conditions. National Portfolio Backlog items may block global or regional publication, Marketplace listing, Studio runtime, public authority learning, readiness mapping, or handoff where national data, national public authority context, community safeguards, Indigenous protocols where applicable, or national support capacity are unresolved.
55.12.6 National Portfolio Boundary. National Portfolio backlog inclusion, National Council discussion, Helix Council discussion, National Working Group work, Competence Cell contribution, National Node routing, or national dashboard display shall not create government approval, national endorsement, procurement priority, public finance allocation, financeability, insurability, consent, deployment authorization, or execution authority.
55.12.7 National Portfolio Backlog Correction. National Portfolio Backlogs shall be corrected where national routing is bypassed, localization is wrong, national law changes, public authority role is overstated, community or Indigenous safeguards are missed, national data controls fail, or portfolio status is treated as approval.
55.12.8 National Portfolio Backlog Formula. National Portfolio Backlogs shall follow the formula: organize country-relevant work nationally; protect data and safeguards; localize with record; distinguish portfolio status from approval; correct national drift; never let national backlog priority become implementation authority.
55.13 Core Build Backlogs
55.13.1 Core Build Backlog Identity. Core Build Backlogs shall be work queues prepared for Nexus Core Build cycles, including technical builds, network builds, compute builds, dashboard builds, Observatory builds, Studio builds, connector builds, agent builds, schema builds, public-safe outputs, evidence products, support items, teardown items, archive items, and post-build correction items.
55.13.2 Core Build Backlog Purpose. Core Build Backlogs shall concentrate year-round Foundry work into time-bounded, high-intensity build cycles while preserving that Core Build is a temporary production environment with permanent records. Core Build Backlogs shall prevent event-driven building from bypassing security, data, public-safe, safeguard, support, and teardown requirements.
55.13.3 Core Build Backlog Record. Each Core Build Backlog item shall have a Core Build Backlog Record identifying Core Build cycle, build purpose, source records, object class, required environment, compute needs, network needs, data class, AI involvement, security requirements, support requirements, public-safe requirements, safeguard requirements, expected outputs, teardown steps, archive rule, correction pathway, and prohibited interpretations.
55.13.4 Core Build Work States. Core Build Backlog status may include proposed-for-Core-Build, environment-review-pending, compute-allocation-pending, network-review-pending, security-review-pending, data-review-pending, AI-review-pending, build-ready, in-Core-Build, build-complete, post-build-review-pending, teardown-pending, reusable-output-candidate, archive-only, corrected, or withdrawn.
55.13.5 Core Build Selection Criteria. Core Build Backlog prioritization shall consider public-good value, technical feasibility, evidence need, national relevance, reuse potential, Observatory value, Studio value, Academy value, support capacity, safeguard readiness, teardown feasibility, and lawful handoff relevance. Event spectacle shall not be a sufficient priority basis.
55.13.6 Core Build Boundary. Selection for Core Build, successful build, live demonstration, network performance, compute performance, or stakeholder visibility shall not create deployment authorization, procurement status, financeability, public authority approval, consent, operational command, or execution authority.
55.13.7 Core Build Backlog Correction. Core Build Backlogs shall be corrected where temporary infrastructure is treated as permanent, event deadlines bypass review, teardown is omitted, dependencies are hidden, or Core Build success is overclaimed.
55.13.8 Core Build Backlog Formula. Core Build Backlogs shall follow the formula: prepare build work before the surge; build under controls; record outputs permanently; tear down deliberately; route reusable results; never let Core Build performance become deployment approval.
55.14 Universe Arena Backlogs
55.14.1 Universe Arena Backlog Identity. Universe Arena Backlogs shall be work queues for Nexus Universe arenas, including Geneva, Toronto, Singapore, UAE, KSA, Turkiye, the United Kingdom, regional arenas, national arenas, public authority rooms, capital-reader rooms, Studio sessions, Core Build showcases, Observatory rooms, Academy activities, National Portfolio presentations, safeguard sessions, and public-safe reporting outputs.
55.14.2 Universe Arena Backlog Purpose. Universe Arena Backlogs shall prepare annual surge activity without allowing event visibility to substitute for evidence, review, support, public-safe discipline, national routing, safeguard review, readiness mapping, or lawful handoff. Arena Backlogs shall convert public attention into record-bearing work, not status overclaim.
55.14.3 Universe Arena Backlog Record. Each Universe Arena Backlog item shall have a Universe Arena Backlog Record identifying arena, cycle, session class, source records, object class, intended audience, public-safe status, data class, public authority involvement if any, capital-reader involvement if any, sponsor or provider involvement if any, community or Indigenous relevance where applicable, national routing, readiness relevance, safeguard relevance, output class, correction pathway, archive rule, and prohibited interpretations.
55.14.4 Arena Work States. Universe Arena Backlog status may include arena-candidate, public-safe-review-pending, national-routing-pending, speaker-material-review-pending, dashboard-review-pending, Studio-session-review-pending, public-authority-boundary-review, capital-reader-no-reliance-review, safeguard-review-pending, arena-ready, presented, output-review-pending, correction-required, archive-ready, withdrawn, or non-continuation.
55.14.5 Arena Public-Safe Controls. Arena Backlog items shall be reviewed for public-safe language, stakeholder attribution, sponsor and provider neutrality, public authority boundary, finance and procurement boundary, consent boundary, media interpretation, dashboard display, Studio interaction, and claims discipline.
55.14.6 Arena Visibility Boundary. Arena inclusion, presentation, demonstration, attendance, sponsor support, provider contribution, public authority participation, capital-reader presence, media coverage, community participation, Indigenous participation where applicable, or public applause shall not create approval, recognition, financeability, procurement status, public authority approval, consent, deployment authorization, or execution authority.
55.14.7 Universe Arena Backlog Correction. Universe Arena Backlogs shall be corrected where arena materials overclaim, public authority presence is treated as approval, capital-reader presence is treated as investment interest, sponsor support is treated as control, provider contribution is treated as validation, or community or Indigenous participation is treated as consent.
55.14.8 Universe Arena Backlog Formula. Universe Arena Backlogs shall follow the formula: prepare the arena through records; review public meaning before visibility; capture outputs after the surge; correct event overclaim; archive cycle memory; never let arena presence become authority.
55.15 Marketplace / Registry / Studio Backlogs
55.15.1 Marketplace / Registry / Studio Backlog Identity. Marketplace / Registry / Studio Backlogs shall be the coordinated work queues for discovery, status truth, and controlled runtime. They shall manage objects moving toward Marketplace listing, Registry recording, Studio runtime preparation, cross-linking among those surfaces, correction of those surfaces, delisting, withdrawal, shutdown, archive, and reinstatement.
55.15.2 Marketplace / Registry / Studio Backlog Purpose. These Backlogs shall prevent discoverability, status memory, and runtime interaction from collapsing into endorsement, universal approval, or deployment authorization. They shall ensure that Marketplace metadata, Registry state metadata, and Studio runtime metadata remain aligned with source records, support status, public-safe limits, correction status, and archive state.
55.15.3 Coordinated Backlog Record. Each coordinated item shall have a Marketplace / Registry / Studio Backlog Record identifying object, version, source records, Marketplace status, Registry status, Studio status, support status, public-safe status, data class, AI class, access class, dependencies, required reviews, correction pathway, delisting pathway, shutdown pathway, archive rule, and prohibited interpretations.
55.15.4 Marketplace Backlog States. Marketplace status may include listing-candidate, metadata-pending, support-review-pending, public-safe-review-pending, Registry-link-pending, Studio-link-pending, listed, restricted-listed, suspended, delisted, deprecated, withdrawn, archived, or reinstated.
55.15.5 Registry Backlog States. Registry status may include Registry-intake, source-record-pending, state-review-pending, Registry-recorded, Registry-restricted, Registry-corrected, Registry-superseded, Registry-withdrawn, Registry-retired, Registry-archived, public-notice-issued, or reinstated.
55.15.6 Studio Backlog States. Studio status may include Studio-intake, runtime-configuration-pending, data-review-pending, tool-review-pending, agent-review-pending, public-safe-review-pending, Studio-ready, Studio-active, Studio-restricted, Studio-paused, Studio-corrected, Studio-retired, Studio-archived, or reinstated.
55.15.7 Cross-Surface Consistency. Marketplace, Registry, and Studio Backlogs shall be reconciled so that a Marketplace listing does not show stale Registry status, a Registry record does not show inactive Studio runtime as active, a Studio package does not run a withdrawn object, and archived materials do not appear current.
55.15.8 Marketplace / Registry / Studio Boundary. Marketplace inclusion, Registry recording, Studio preparation, Studio activation, cross-linking, public display, search visibility, status display, or runtime interaction shall not create recognition, certification, procurement preference, financeability, insurability, public authority approval, consent, deployment authorization, operational command, or execution authority.
55.15.9 Marketplace / Registry / Studio Correction. These Backlogs shall be corrected where metadata is stale, Registry state is wrong, Studio status is unsafe, support status is overstated, public-safe labels are missing, archived objects appear current, or users treat discovery, status, or runtime as approval.
55.15.10 Marketplace / Registry / Studio Backlog Formula. Marketplace / Registry / Studio Backlogs shall follow the formula: coordinate discovery, status, and runtime; keep surfaces aligned with source records; correct stale links; delist and shut down when risk changes; never let discoverability, record presence, or runtime interaction become approval or deployment authority.
55.16 Backlog Prioritization and Correction
55.16.1 Prioritization Principle. Backlog Prioritization and Correction shall be the governed process for ordering, escalating, pausing, restricting, deprioritizing, splitting, merging, withdrawing, correcting, archiving, or renewing Foundry Backlog items according to public-good value, evidence need, risk, urgency, national relevance, safeguard need, support capacity, lifecycle responsibility, correction urgency, Core Build readiness, Nexus Universe timing, and lawful handoff relevance. Prioritization shall be record-based and correctionable.
55.16.2 Prioritization Purpose. Prioritization shall ensure that Foundry capacity is allocated to work that can be justified, reviewed, supported, corrected, localized, and safely carried through its lifecycle. It shall prevent the Backlog from being captured by visibility, money, prestige, provider readiness, sponsor preference, urgency theater, event deadlines, or technically exciting but unsupported work.
55.16.3 Prioritization Record. Each material priority decision shall have a Prioritization Record identifying item, priority class, priority basis, public-good value, dependency status, evidence status, safeguard status, public-safe status, national relevance, support burden, resource needs, time sensitivity, Core Build relevance, Universe Arena relevance, correction urgency, handoff relevance, conflicts or influence disclosed, decision steward, review date, correction pathway, archive rule, and prohibited interpretations.
55.16.4 Priority Criteria. Priority criteria may include: 55.16.4(a) public-good importance and systems-risk relevance; 55.16.4(b) evidence gap severity; 55.16.4(c) national portfolio relevance and national ownership pathway; 55.16.4(d) safeguard urgency and affected-actor relevance; 55.16.4(e) correction urgency and risk of public misunderstanding; 55.16.4(f) reuse potential across Packs, Rails, Studio, Marketplace, Registry, Academy, and National Nodes; 55.16.4(g) Core Build suitability; 55.16.4(h) Nexus Universe timing; 55.16.4(i) support capacity and lifecycle burden; 55.16.4(j) lawful handoff dependency relevance; 55.16.4(k) readiness to proceed without bypassing controls.
55.16.5 Priority Classes. Priority classes may include immediate correction, stop-the-line, safeguard-critical, security-critical, public-safe-critical, national-routing-critical, Core-Build-critical, Universe-Arena-critical, release-blocking, support-critical, high public-good value, dependency-blocked, deferred, suspended, non-continuation, archive-only, and renewal-required.
55.16.6 Stop-the-Line Priority. Stop-the-line priority shall apply where a Backlog item presents material risk of data exposure, security failure, AI overreach, public warning overclaim, public authority overclaim, finance or procurement overclaim, consent overclaim, protected knowledge exposure, Indigenous protocol concern where applicable, safety risk, national bypass, or execution implication. Stop-the-line action may pause release, publication, Marketplace listing, Registry display, Studio runtime, Core Build use, Universe Arena presentation, or handoff until corrected.
55.16.7 Anti-Capture Prioritization Rule. Sponsor funding, provider contribution, capital-reader interest, public authority attendance, media attention, senior-person preference, event timing, or institutional prestige may inform context but shall not control priority. Priority shall be justified by public-good value, dependency, risk, evidence, national ownership, support capacity, safeguard need, and lifecycle responsibility.
55.16.8 Backlog Splitting and Merging. Large or mixed Backlog items shall be split where different components require different Rails, reviews, safeguards, support statuses, national routes, Marketplace / Registry / Studio states, or handoff dependencies. Items may be merged where duplication creates confusion, but merging shall preserve records, attribution, dependencies, and correction history.
55.16.9 Backlog Deprioritization and Non-Continuation. Backlog items may be deprioritized, suspended, or archived as non-continuation where evidence is insufficient, safeguards cannot be resolved, support capacity is absent, public-safe risk is excessive, national routing is unavailable, dependency burden is unjustified, lawful handoff is inappropriate, or the item no longer serves public-good purpose. Non-continuation shall be recorded, not hidden.
55.16.10 Backlog Correction. Backlog prioritization shall be corrected where priority basis was wrong, conflicts were omitted, sponsor or provider influence distorted order, safeguard risk was missed, public-safe risk changed, national routing became required, support burden increased, evidence weakened, or priority label was used as approval.
55.16.11 Final Foundry Backlog Formula. The controlling Foundry Backlog Formula is that Backlog Definition converts intake into governed work; Backlog Classes classify work by object, risk, and lifecycle; Program Backlogs translate strategy into production; Rail Backlogs manage pathway movement; Pack Backlogs turn repeated needs into reusable capability; Connector Backlogs govern interfaces; Agent Backlogs govern AI workflow; Dashboard Backlogs govern visualization; Evidence Product Backlogs govern claims support; Safeguard Backlogs protect people, rights, data, and knowledge; Readiness Backlogs map unresolved dependencies; National Portfolio Backlogs preserve national ownership; Core Build Backlogs prepare temporary surge into permanent records; Universe Arena Backlogs convert visibility into durable memory; Marketplace / Registry / Studio Backlogs coordinate discovery, status, and runtime; and Backlog Prioritization and Correction allocate capacity by public-good value, evidence, safeguards, national routing, support, correction, and lifecycle responsibility. No backlog item, class, priority, queue position, sprint selection, Core Build selection, Universe Arena selection, Marketplace candidacy, Registry candidacy, Studio candidacy, Grid relevance, handoff proximity, or prioritization decision creates recognition, certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, operational command, or execution authority by implication.
56. Quests
56.1 Quest Definition
56.1.1 Quest Identity. A Quest in Nexus Foundry shall be a governed, bounded, record-bearing, learning-linked, contribution-ready, reviewable, creditable, correctionable, and archive-ready unit of work through which participants may contribute to Foundry production without being given institutional authority, employment status, certification status, procurement status, finance status, deployment authority, or execution authority by implication. Quests shall translate Backlog items into structured work pathways suitable for learning, contribution, evidence formation, observability support, data preparation, AI workflow support, cyber review, public-safe reporting, readiness mapping, National Portfolio formation, Academy progression, and public-good production.
56.1.2 Quest Purpose. Quests shall allow Foundry to mobilize distributed contributors while preserving quality, safety, records, review, attribution, role separation, public-good purpose, and lifecycle discipline. A Quest shall make clear what work is requested, why it matters, what source records apply, what outputs are expected, what skills are needed, what safeguards apply, what cannot be claimed, who reviews the result, how credits may be recorded, and how completion is treated.
56.1.3 Quest as Work-Integrated Learning Unit. A Quest shall be both a production unit and a learning unit. It may teach contributors how to use Nexus Rails, Packs, Profiles, Schemas, Connectors, Dashboards, Evidence Products, Safeguard Products, Readiness Products, Studio Runtime Packages, Marketplace Objects, Registry Objects, and Handoff Dependency Packages while producing useful work. Learning through Quest participation shall not create professional qualification, role appointment, certification, governance authority, public authority status, or execution authority.
56.1.4 Quest Record. Each Quest shall have a Quest Record identifying Quest title, purpose, source Backlog item, source records, object class, Quest class, difficulty level, learning objectives, required skills, permitted contributors, access class, data class, AI class, cyber class, public-safe class, safeguard class, national routing relevance, required outputs, prohibited outputs, review pathway, completion criteria, credit rule, correction pathway, archive rule, and prohibited interpretations.
56.1.5 Quest Classes. Quests may include Learning Quests, Contributor Quests, Evidence Quests, Observatory Quests, Data Quests, AI Quests, Cyber Quests, Public-Safe Reporting Quests, Readiness Quests, National Portfolio Quests, Academy-Linked Quests, Safeguard Quests, Connector Quests, Dashboard Quests, Documentation Quests, Translation Quests, Accessibility Quests, Support Quests, Correction Quests, and Archive Quests.
56.1.6 Quest Status Classes. Quest status may include proposed, drafted, approved-for-posting, restricted, open, assigned, in-progress, submitted, review-pending, revision-required, accepted-with-limitations, rejected, credited, corrected, withdrawn, superseded, archived, or non-continuation. Quest status shall exist only by record and shall mean only what the record states.
56.1.7 Quest Boundary. Quest posting, assignment, participation, submission, acceptance, credit, Academy linkage, Core Build linkage, Nexus Universe visibility, Marketplace linkage, Registry reference, Studio use, or National Portfolio relationship shall not create employment, contractor status, certification, maintainer authority, reviewer authority, governance authority, public authority approval, procurement qualification, financeability, insurability, consent, deployment authorization, operational command, or execution authority.
56.1.8 Quest Correction. Quest Records shall be corrected where scope is unclear, required safeguards are missing, data access is overbroad, public-safe limits are weak, AI or cyber risk is understated, national routing is bypassed, completion criteria are overstated, credit is misassigned, or Quest completion is used as authority overclaim.
56.1.9 Quest Formula. Quests shall operate according to the formula: convert backlog into bounded work; attach learning and records; restrict data and tools; review before acceptance; credit contribution without authority; correct misuse; archive completed work; never let Quest participation or completion become certification, appointment, consent, deployment, or execution.
56.2 Learning Quests
56.2.1 Learning Quest Identity. Learning Quests shall be Quests designed primarily to build participant understanding of Nexus Foundry methods, Nexus doctrines, public-good production, evidence discipline, non-execution, validity-by-record, correctionability, public-safe reporting, controlled vocabulary, data handling, AI controls, cyber controls, safeguard discipline, national routing, Marketplace / Registry / Studio boundaries, readiness mapping, and lawful handoff limits.
56.2.2 Learning Quest Purpose. Learning Quests shall create a structured pathway for participants to learn by doing. They shall convert abstract onboarding into practical exercises while ensuring that learners do not produce unreviewed public outputs, access inappropriate data, make claims beyond records, or infer authority from participation.
56.2.3 Learning Quest Record. Each Learning Quest shall have a Learning Quest Record identifying learning objective, Academy relationship, source materials, required readings or orientation materials, work task, expected learning output, review requirement, feedback pathway, credit eligibility, access class, data class, public-safe class, safeguard relevance, correction pathway, archive rule, and prohibited interpretations.
56.2.4 Learning Quest Types. Learning Quests may include orientation tasks, terminology tasks, schema-reading tasks, evidence-review exercises, dashboard-interpretation exercises, public-safe rewriting exercises, data-classification exercises, AI-boundary exercises, cyber-baseline exercises, safeguard-identification exercises, national-routing exercises, Marketplace status exercises, Registry status exercises, Studio runtime exercises, and handoff-dependency exercises.
56.2.5 Learning Quest Output. Learning Quest outputs may include notes, classifications, draft annotations, mock records, practice reviews, controlled exercises, reflections, corrected examples, or low-risk contributions. Learning outputs shall not be treated as production outputs unless separately reviewed and adopted through the applicable Rail.
56.2.6 Learning Quest Review. Learning Quests shall be reviewed for learning adequacy, boundary understanding, terminology accuracy, public-safe comprehension, safeguard awareness, and correction readiness. Review may provide feedback without creating certification or role readiness beyond the recorded learning objective.
56.2.7 Learning Quest Boundary. Completion of a Learning Quest shall not create credential, certification, employment, contributor authority, maintainer authority, reviewer authority, Academy degree, public authority status, procurement qualification, financeability, consent, deployment authorization, or execution authority.
56.2.8 Learning Quest Correction. Learning Quests shall be corrected where learning materials are outdated, boundary language is weak, exercises imply authority, learners are exposed to inappropriate data, or completion is represented as certification.
56.2.9 Learning Quest Formula. Learning Quests shall follow the formula: teach by bounded practice; review understanding; credit learning carefully; separate learning from authority; update exercises as doctrine changes; never let learning completion become certification or role appointment.
56.3 Contributor Quests
56.3.1 Contributor Quest Identity. Contributor Quests shall be Quests through which participants contribute bounded work to Foundry production, including drafting, documentation, research support, schema review, issue triage, code contribution, translation, accessibility support, dashboard preparation, data preparation, evidence support, public-safe language support, support documentation, correction work, or archive work.
56.3.2 Contributor Quest Purpose. Contributor Quests shall allow distributed contribution without allowing uncontrolled contribution to become uncontrolled production. They shall define what a contributor may do, what they may access, what outputs they may submit, what review is required, how attribution is recorded, and what claims are prohibited.
56.3.3 Contributor Quest Record. Each Contributor Quest shall have a Contributor Quest Record identifying work objective, source Backlog item, contributor eligibility, required skills, access limits, data limits, tool limits, AI-use rules, expected outputs, style or schema requirements, reviewer, acceptance criteria, credit rule, correction pathway, archive rule, and prohibited interpretations.
56.3.4 Contributor Quest Types. Contributor Quests may include documentation Quests, code Quests, test Quests, schema Quests, ontology Quests, connector Quests, agent configuration Quests, dashboard Quests, public-safe drafting Quests, translation Quests, accessibility Quests, support-note Quests, correction Quests, and archive Quests.
56.3.5 Contributor Access Discipline. Contributors shall receive access only to the materials and tools needed for the Quest. Contributor status shall not grant broad repository access, Registry write access, Marketplace publishing access, Studio activation authority, restricted data access, secure-room access, public authority communication authority, or handoff authority unless separately recorded.
56.3.6 Contributor Output Review. Contributor Quest outputs shall be reviewed before acceptance, merge, release, publication, Marketplace listing, Registry update, Studio use, Academy use, National Portfolio use, or handoff inclusion. Contribution is input; review and adoption are separate.
56.3.7 Contributor Quest Boundary. Contributor Quest participation, submission, acceptance, credit, repository merge, or public attribution shall not create employment, contractor status, maintainer authority, reviewer authority, certification, procurement qualification, provider validation, public authority approval, financeability, consent, deployment authorization, or execution authority.
56.3.8 Contributor Quest Correction. Contributor Quests shall be corrected where access is excessive, contributor role is overstated, outputs are adopted without review, credit is misassigned, contributor claims overreach, or contributions are used as endorsement or authority.
56.3.9 Contributor Quest Formula. Contributor Quests shall follow the formula: bound the task; limit access; review every output; credit contribution; correct role overclaim; never let contribution become authority or employment by implication.
56.4 Evidence Quests
56.4.1 Evidence Quest Identity. Evidence Quests shall be Quests focused on finding, organizing, checking, annotating, comparing, structuring, or preparing evidence for Evidence Products, Evidence Rails, Observatory work, DRI outputs, GRIx context, Readiness Products, Safeguard Products, public authority learning materials, National Portfolio records, Studio packages, Marketplace context, Registry records, Grid inputs, or lawful handoff dependency packages.
56.4.2 Evidence Quest Purpose. Evidence Quests shall make evidence work distributed and repeatable while preserving provenance, source quality, uncertainty, limitations, review, public-safe status, and correctionability. They shall prevent contributors from converting research notes or AI summaries into unsupported claims.
56.4.3 Evidence Quest Record. Each Evidence Quest shall have an Evidence Quest Record identifying evidence question, source scope, permitted source types, prohibited source types, evidence standard, data class, AI-use rule, citation or source-record requirements, uncertainty fields, limitation fields, public-safe implications, reviewer, output format, acceptance criteria, correction pathway, archive rule, and prohibited claims.
56.4.4 Evidence Quest Types. Evidence Quests may include source-finding Quests, literature-mapping Quests, dataset-discovery Quests, evidence-summary Quests, benchmark-review Quests, method-comparison Quests, model-card support Quests, system-card support Quests, Observatory evidence Quests, DRI evidence Quests, public authority evidence Quests, and handoff evidence Quests.
56.4.5 Evidence Quality Discipline. Evidence Quests shall require contributors to distinguish source fact, interpretation, uncertainty, assumption, limitation, and recommendation. Contributors shall not convert isolated sources, incomplete searches, provider claims, sponsor materials, or AI summaries into Foundry conclusions.
56.4.6 Evidence Quest Review. Evidence Quest outputs shall be reviewed by competent reviewers before being incorporated into Evidence Products, dashboards, readiness products, public-safe reports, Marketplace metadata, Registry records, Studio packages, Grid inputs, or handoff materials.
56.4.7 Evidence Quest Boundary. Evidence Quest completion shall not create factual approval, scientific consensus, certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
56.4.8 Evidence Quest Correction. Evidence Quests shall be corrected where sources are weak, citations are wrong, uncertainty is hidden, AI output is unreviewed, provider claims are treated as neutral evidence, or evidence Quest outputs are used as approval.
56.4.9 Evidence Quest Formula. Evidence Quests shall follow the formula: ask a precise evidence question; preserve sources and limits; separate notes from claims; review before use; correct evidence errors; never let evidence gathering become approval.
56.5 Observatory Quests
56.5.1 Observatory Quest Identity. Observatory Quests shall be Quests that support Nexus Observatory and Foundry observability work, including indicator mapping, signal review, sensor metadata review, Edge telemetry classification, geospatial layer preparation, Earth observation source review, dashboard labeling, confidence labeling, uncertainty labeling, drift labeling, DRI input preparation, GRIx context support, digital twin input review, and public-safe observability preparation.
56.5.2 Observatory Quest Purpose. Observatory Quests shall help make systems visible while preserving that observation is not warning, rating, surveillance, public authority decision, finance signal, procurement signal, consent, deployment, or command. They shall allow contributors to support observability without creating public meaning beyond record.
56.5.3 Observatory Quest Record. Each Observatory Quest shall have an Observatory Quest Record identifying observability question, signal or indicator class, source records, data class, geospatial sensitivity, sensor or Edge source where applicable, confidence fields, uncertainty fields, drift fields, public-safe status, national routing relevance, safeguard relevance, output format, reviewer, correction pathway, archive rule, and prohibited interpretations.
56.5.4 Observatory Quest Types. Observatory Quests may include indicator-definition Quests, data-source mapping Quests, sensor-inventory Quests, Edge telemetry classification Quests, geospatial sensitivity Quests, Earth observation review Quests, dashboard label Quests, confidence / uncertainty / drift label Quests, DRI input Quests, digital twin input Quests, and public-safe observability Quests.
56.5.5 Observability Sensitivity Discipline. Observatory Quests involving sensitive locations, communities, Indigenous-sensitive knowledge or places where applicable, protected knowledge, infrastructure, health, cyber, or public authority-sensitive material shall be restricted and reviewed. Public-safe summaries shall be separated from restricted observability.
56.5.6 Observatory Quest Review. Observatory Quest outputs shall be reviewed for provenance, signal quality, indicator meaning, sensitivity, geospatial risk, public-safe display, national routing, and uncertainty before being used in dashboards, DRI pipelines, digital twins, public-safe reports, Studio packages, Marketplace context, Registry records, or handoff materials.
56.5.7 Observatory Quest Boundary. Observatory Quest completion shall not create public warning, official risk classification, surveillance authority, rating, insurance determination, investment signal, procurement priority, consent, deployment authorization, or operational command.
56.5.8 Observatory Quest Correction. Observatory Quests shall be corrected where signals are stale, geospatial sensitivity is missed, uncertainty is hidden, public-safe labels fail, national routing is bypassed, or observability outputs are used as warning or authority.
56.5.9 Observatory Quest Formula. Observatory Quests shall follow the formula: map signals carefully; label confidence and uncertainty; protect sensitive places; review before display; correct drift; never let observability work become warning or command.
56.6 Data Quests
56.6.1 Data Quest Identity. Data Quests shall be Quests focused on data discovery, inventory, classification, documentation, cleaning, validation, metadata preparation, data dictionary development, provenance mapping, residency review support, public-safe output preparation, dataset card support, data-quality notes, restricted-data flagging, and archive preparation.
56.6.2 Data Quest Purpose. Data Quests shall help Foundry make data usable without making data unrestricted. They shall create structured data understanding while preserving custody, permission, classification, sensitivity, residency, privacy, protected knowledge, Indigenous data sovereignty where applicable, security, output review, and correction rules.
56.6.3 Data Quest Record. Each Data Quest shall have a Data Quest Record identifying dataset or data class, source, steward, permitted work, prohibited work, data classification, sensitivity class, residency conditions, access class, AI-use limits, transformation rules, output rules, metadata requirements, reviewer, correction pathway, archive rule, and prohibited interpretations.
56.6.4 Data Quest Types. Data Quests may include data-inventory Quests, metadata Quests, data dictionary Quests, data classification Quests, data-quality Quests, provenance Quests, transformation-mapping Quests, geospatial data Quests, secure-room preparation Quests, public-safe data summary Quests, dataset-card Quests, and data archive Quests.
56.6.5 Data Access Discipline. Data Quests shall use the least sensitive data and least access necessary. Synthetic, public-safe, aggregate, masked, no-download, secure-room, or compute-to-data approaches shall be preferred where raw data access is not required.
56.6.6 AI and Data Quest Controls. Contributors shall not use data in AI tools, embeddings, model training, summarization, translation, classification, or agent workflows unless the Data Quest Record permits such use. AI convenience shall not override data profile rules.
56.6.7 Data Quest Boundary. Data Quest participation, data classification, metadata completion, data-quality notes, or dataset-card preparation shall not create data ownership, unrestricted use rights, publication permission, AI training permission, public authority approval, procurement status, financeability, consent, deployment authorization, or execution authority.
56.6.8 Data Quest Correction. Data Quests shall be corrected where classification is wrong, sensitive data is exposed, residency is missed, AI use exceeds scope, metadata misleads, data quality is overstated, or data work is treated as permission.
56.6.9 Data Quest Formula. Data Quests shall follow the formula: classify before handling; minimize access; preserve provenance; restrict AI use; review outputs; correct data misuse; never let data work become data permission.
56.7 AI Quests
56.7.1 AI Quest Identity. AI Quests shall be Quests focused on AI and agentic systems work, including model card support, system card support, agent configuration support, prompt and workflow review, retrieval testing, evaluation design, red-team support, tool-permission analysis, automated-claim-prevention testing, public-safe AI output review, AI workflow documentation, and AI correction.
56.7.2 AI Quest Purpose. AI Quests shall allow Foundry to benefit from AI capability while preventing hidden automation, hallucinated authority, unsafe agent behavior, uncontrolled tool use, data leakage, model overclaim, public authority confusion, finance or procurement overclaim, consent inference, and execution by automation.
56.7.3 AI Quest Record. Each AI Quest shall have an AI Quest Record identifying model, system, agent, workflow, data classes, tool permissions, autonomy level, retrieval scope, memory rule, prompt or workflow logging rule where appropriate, evaluation task, red-team requirement, human-review requirement, output-review requirement, public-safe risk, correction pathway, archive rule, and prohibited interpretations.
56.7.4 AI Quest Types. AI Quests may include model-review Quests, model-card Quests, system-card Quests, agent-record Quests, tool-permission Quests, prompt-injection test Quests, retrieval-quality Quests, hallucination test Quests, automated-claim-prevention Quests, AI output labeling Quests, red-team Quests, AI public-safe review Quests, and AI correction Quests.
56.7.5 AI Tool and Data Restrictions. AI Quests shall define permitted tools, prohibited tools, permitted data, prohibited data, sandbox requirements, human approval points, and shutdown triggers. Contributors shall not create autonomous agents, connect tools, access restricted data, or run AI over sensitive materials beyond the Quest Record.
56.7.6 AI Quest Review. AI Quest outputs shall be reviewed by competent AI, data, security, public-safe, safeguard, and domain reviewers where applicable before incorporation into models, systems, agents, Studio packages, dashboards, Marketplace objects, Registry records, or Deployment Units.
56.7.7 AI Quest Boundary. AI Quest completion, red-team note, evaluation result, model-card support, agent test, or tool-permission analysis shall not certify an AI system, approve AI safety, authorize sensitive data use, create public authority approval, procurement status, financeability, consent, deployment authorization, or execution authority.
56.7.8 AI Quest Correction. AI Quests shall be corrected where model behavior is overstated, red-team findings are hidden, tool permissions are excessive, data exposure occurs, automated claims controls fail, or AI Quest outputs are used as authority.
56.7.9 AI Quest Formula. AI Quests shall follow the formula: test models and agents within bounds; restrict data and tools; record failures; require human review; correct AI drift; never let AI Quest success become AI certification or execution authority.
56.8 Cyber Quests
56.8.1 Cyber Quest Identity. Cyber Quests shall be Quests focused on cybersecurity, secure infrastructure, identity and access management, privileged access, secrets management, vulnerability review, secure configuration, logging and monitoring, secure rooms, clean rooms, no-download environments, connector security, API security, AI tool security, dashboard security, incident learning, and teardown verification.
56.8.2 Cyber Quest Purpose. Cyber Quests shall improve Foundry security posture while preventing security work from creating generalized cybersecurity certification, deployment approval, public authority approval, procurement status, financeability, or operational authorization. Cyber work shall identify and reduce risk within scope.
56.8.3 Cyber Quest Record. Each Cyber Quest shall have a Cyber Quest Record identifying system or object, security question, environment, data class, access class, permitted testing, prohibited testing, tools permitted, vulnerability disclosure rules, secrets rules, logging rules where appropriate, reviewer, remediation pathway, public-safe disclosure limits, correction pathway, archive rule, and prohibited interpretations.
56.8.4 Cyber Quest Types. Cyber Quests may include configuration-review Quests, dependency-scan Quests, secrets-scan Quests, access-review Quests, IAM Quests, API-security Quests, connector-security Quests, Studio-security Quests, dashboard-security Quests, AI-tool-security Quests, secure-room-control Quests, incident-retrospective Quests, teardown-verification Quests, and cyber-range learning Quests.
56.8.5 Safe Testing Discipline. Cyber Quests shall define permissible testing boundaries. Contributors shall not perform unauthorized penetration testing, exploit development, live-system attacks, credential probing, data exfiltration, bypass testing, or public vulnerability disclosure outside the recorded scope and lawful authorization.
56.8.6 Cyber Quest Review. Cyber Quest outputs shall be reviewed for severity, exploitability, affected systems, data sensitivity, remediation needs, public-safe disclosure limits, support implications, correction requirements, and archive restrictions. Vulnerability details shall be access-controlled.
56.8.7 Cyber Quest Boundary. Cyber Quest completion, scan result, remediation note, hardening note, or security review shall not create cybersecurity certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
56.8.8 Cyber Quest Correction. Cyber Quests shall be corrected where testing exceeds scope, vulnerabilities are mishandled, secrets are exposed, remediation is overstated, public disclosure is unsafe, or security work is treated as certification.
56.8.9 Cyber Quest Formula. Cyber Quests shall follow the formula: test security only within scope; protect vulnerability details; remediate by record; verify closure; never let cyber review become certification or deployment approval.
56.9 Public-Safe Reporting Quests
56.9.1 Public-Safe Reporting Quest Identity. Public-Safe Reporting Quests shall be Quests focused on preparing, reviewing, translating, accessibility-checking, labeling, correcting, or archiving public-safe materials, including reports, summaries, dashboard text, Marketplace descriptions, Registry descriptions, Studio explanations, public authority learning materials, National Portfolio summaries, Nexus Universe outputs, Academy materials, correction notices, withdrawal notices, and archive notices.
56.9.2 Public-Safe Reporting Quest Purpose. Public-Safe Reporting Quests shall make Foundry outputs understandable without creating unsafe public meaning. They shall prevent reports from becoming public warnings, ratings, official classifications, approvals, procurement signals, finance signals, consent claims, deployment authorization, or execution claims.
56.9.3 Public-Safe Reporting Quest Record. Each Public-Safe Reporting Quest shall have a Public-Safe Reporting Quest Record identifying material, audience, source records, public-safe class, data class, sensitivity class, claims risks, required labels, boundary language, accessibility requirements, translation requirements where applicable, reviewer, correction pathway, withdrawal pathway, archive rule, and prohibited claims.
56.9.4 Public-Safe Reporting Quest Types. These Quests may include summary drafting, public-safe rewriting, claims review, controlled vocabulary review, no-conversion language review, translation review, accessibility review, dashboard label review, media language review, Marketplace description review, Registry description review, Studio instruction review, public authority learning language review, and correction notice drafting.
56.9.5 Public-Safe Claims Control. Public-Safe Reporting Quests shall check for unsupported status words, public authority overclaim, finance or procurement overclaim, insurance overclaim, sponsor or provider endorsement, consent implication, deployment implication, operational command language, and excessive certainty.
56.9.6 Public-Safe Reporting Review. Outputs from Public-Safe Reporting Quests shall be reviewed before publication, dashboard display, Marketplace listing, Registry display, Studio use, public authority learning use, National Portfolio use, or handoff inclusion.
56.9.7 Public-Safe Reporting Quest Boundary. Public-safe reporting Quest completion shall not create official public warning, public authority approval, certification, financeability, procurement suitability, consent, deployment authorization, or execution authority. It supports safe communication only.
56.9.8 Public-Safe Reporting Quest Correction. These Quests shall be corrected where language misleads, translations weaken boundaries, accessibility changes meaning, public-safe labels are missing, or reporting is treated as official status.
56.9.9 Public-Safe Reporting Quest Formula. Public-Safe Reporting Quests shall follow the formula: communicate within records; remove unsupported authority language; label limits visibly; review before publication; correct public meaning; never let reporting become warning, rating, approval, or execution.
56.10 Readiness Quests
56.10.1 Readiness Quest Identity. Readiness Quests shall be Quests focused on identifying, mapping, documenting, reviewing, or correcting readiness dependencies for Foundry Objects, Packs, Deployment Units, dashboards, Studio packages, Marketplace objects, Registry records, National Portfolio items, Grid inputs, and handoff dependency packages.
56.10.2 Readiness Quest Purpose. Readiness Quests shall help Foundry understand what remains unresolved before continuation, release, support, public authority learning, Marketplace listing, Registry recording, Studio runtime, capital-reader review, insurance-reader review, donor-reader review, public finance relevance review, National Portfolio inclusion, National Consortium Company consideration, Project SPV consideration, or lawful handoff.
56.10.3 Readiness Quest Record. Each Readiness Quest shall have a Readiness Quest Record identifying object, readiness question, dependency class, evidence basis, unresolved gap, public authority dependency, legal dependency, procurement dependency, finance or insurance dependency, donor or public finance dependency, data dependency, cyber dependency, AI dependency where applicable, safeguard dependency, support dependency, national routing, no-reliance language, reviewer, correction pathway, archive rule, and prohibited claims.
56.10.4 Readiness Quest Types. Readiness Quests may include TRL input Quests, support-readiness Quests, data-readiness Quests, cyber-readiness Quests, AI-readiness Quests, public authority dependency Quests, procurement-neutrality Quests, finance-readability Quests, insurance-readability Quests, donor/public finance relevance Quests, SPV-readiness Quests, and lawful handoff dependency Quests.
56.10.5 No-Reliance Controls. Readiness Quests involving capital readers, insurers, donors, public finance actors, enterprise actors, National Consortium Companies, Project SPVs, or public authorities shall preserve no-reliance, non-advisory, non-soliciting, non-transactional, non-underwriting, non-commitment, competition-compliant, confidentiality-aware, and regulated-perimeter language.
56.10.6 Readiness Quest Review. Readiness Quest outputs shall be reviewed before being used in readiness dashboards, finance-readable mappings, public authority learning materials, Marketplace metadata, Registry records, Studio packages, Grid inputs, National Portfolios, Deployment Units, or handoff packages.
56.10.7 Readiness Quest Boundary. Readiness Quest completion shall not create financeability, bankability, insurability, investment advice, donor approval, public finance approval, procurement readiness, public authority approval, legal compliance, consent, deployment authorization, or execution authority.
56.10.8 Readiness Quest Correction. Readiness Quests shall be corrected where dependencies are omitted, no-reliance language is weak, finance language overclaims, procurement neutrality fails, public authority pathways are misstated, safeguards are incomplete, or readiness work is treated as transaction signal.
56.10.9 Readiness Quest Formula. Readiness Quests shall follow the formula: map dependencies; state unresolved conditions; preserve no-reliance; review before downstream use; correct readiness overclaim; never let readiness work become finance, procurement, consent, deployment, or execution.
56.11 National Portfolio Quests
56.11.1 National Portfolio Quest Identity. National Portfolio Quests shall be Quests focused on supporting country-level Foundry work through National Nexus Nodes, National Nexus Consortiums, National Councils, Helix Councils, National Working Groups, Competence Cells, National Dense Nexus Cores, public authority learning pathways, national observability, national readiness mapping, national safeguard review, national Studio preparation, national Marketplace context, national Registry records, and national lawful handoff preparation.
56.11.2 National Portfolio Quest Purpose. National Portfolio Quests shall preserve national ownership before local delivery by converting country-relevant Backlog items into bounded work that supports national context, language, data controls, public authority boundaries, community safeguards, Indigenous protocols where applicable, public-safe materials, National Portfolio dashboards, readiness questions, and lawful national handoff dependencies.
56.11.3 National Portfolio Quest Record. Each National Portfolio Quest shall have a National Portfolio Quest Record identifying country, National Node pathway, source Backlog item, national priority relationship, object class, domain, sector, language needs, data class, public authority sensitivity, community safeguard relevance, Indigenous protocol relevance where applicable, national support status, readiness relevance, handoff relevance, reviewer, correction pathway, archive rule, and prohibited interpretations.
56.11.4 National Portfolio Quest Types. These Quests may include national context mapping, national translation, national public-safe review, national data classification, national observability support, national DRI support, National Portfolio dashboard support, public authority learning support, community safeguard support, Indigenous protocol support where applicable, readiness dependency support, National Profile support, and national handoff dependency support.
56.11.5 National Routing Discipline. National Portfolio Quests shall be routed through appropriate national pathways where required. Global or regional contributors may support national work, but shall not bypass National Node review, national data controls, national public authority boundaries, community safeguards, Indigenous protocols where applicable, or national support conditions.
56.11.6 National Portfolio Quest Review. Outputs shall be reviewed for national context accuracy, language accuracy, public-safe meaning, national data controls, public authority boundary, community safeguards, Indigenous protocols where applicable, readiness language, support status, and handoff implications.
56.11.7 National Portfolio Quest Boundary. National Portfolio Quest completion, National Node routing, National Working Group review, Competence Cell contribution, National Council discussion, or National Portfolio dashboard inclusion shall not create government approval, national endorsement, procurement priority, public finance allocation, financeability, insurability, community consent, Indigenous consent where applicable, deployment authorization, or execution authority.
56.11.8 National Portfolio Quest Correction. These Quests shall be corrected where national routing is bypassed, localization is wrong, translation changes meaning, public authority role is overstated, community or Indigenous safeguards are missed, or national portfolio work is treated as approval.
56.11.9 National Portfolio Quest Formula. National Portfolio Quests shall follow the formula: route country work nationally; localize with record; protect national data and safeguards; review public meaning; correct national drift; never let national portfolio contribution become government approval or implementation authority.
56.12 Academy-Linked Quests
56.12.1 Academy-Linked Quest Identity. Academy-Linked Quests shall be Quests connected to Nexus Academy pathways, learning accounts, competency frameworks, role-readiness pathways, work-integrated learning, contributor progression, maintainer progression, reviewer progression, public authority learning, National Node capability formation, Competence Cell formation, Studio training, Marketplace training, Registry training, secure infrastructure training, AI training, data training, public-safe reporting training, and safeguard training.
56.12.2 Academy-Linked Quest Purpose. Academy-Linked Quests shall make Foundry production a learning system. They shall connect practical work to durable learning records and contribution memory while preserving that learning, credits, badges, completion, or progression do not create authority, certification, employment, governance status, public authority status, procurement qualification, deployment authorization, or execution authority by implication.
56.12.3 Academy-Linked Quest Record. Each Academy-Linked Quest shall have an Academy-Linked Quest Record identifying Academy pathway, learning objectives, competency relationship, role-readiness relationship, source Backlog item, work output, review requirement, evidence of completion, credit rule, learning account update, refresh requirement, correction pathway, archive rule, and prohibited interpretations.
56.12.4 Academy-Linked Quest Types. These Quests may include onboarding Quests, role-readiness Quests, maintainer-readiness Quests, reviewer-readiness Quests, release-steward Quests, data-steward Quests, AI-steward Quests, cyber-steward Quests, dashboard-interpretation Quests, public-safe publication Quests, safeguard Quests, public authority learning Quests, National Node capability Quests, and Competence Cell formation Quests.
56.12.5 Learning Account Integration. Academy-Linked Quest completion may update a participant’s learning account, contribution record, credits record, or role-readiness pathway where reviewed and recorded. The record shall state the scope of learning and shall avoid certification or appointment overclaim.
56.12.6 Academy-Linked Quest Review. Review shall confirm both work quality and learning alignment. A participant may receive learning credit even where production output is not adopted, provided the Quest Record allows it and the learning objective was met.
56.12.7 Academy-Linked Quest Boundary. Completion of Academy-Linked Quests shall not create credential, degree, professional certification, employment, governance authority, maintainer appointment, reviewer appointment, public authority status, procurement qualification, financeability, consent, deployment authorization, or execution authority unless separately and lawfully recorded.
56.12.8 Academy-Linked Quest Correction. Academy-Linked Quests shall be corrected where learning outcomes are overstated, credits are misassigned, role-readiness is implied without record, training materials are stale, or Academy linkage is treated as certification.
56.12.9 Academy-Linked Quest Formula. Academy-Linked Quests shall follow the formula: connect work to learning; record contribution and competency within scope; separate learning from appointment; correct credit and role overclaim; never let Academy linkage become certification or authority.
56.13 Quest Completion Without Authority
56.13.1 Completion Rule. Quest Completion Without Authority shall be the controlling rule that completion of any Quest means only that the Quest output has met the completion criteria recorded for that Quest and has been processed through the applicable review pathway. Completion shall not create institutional, legal, public authority, procurement, finance, consent, deployment, operational, or execution status beyond the Quest Record.
56.13.2 Completion States. Quest completion may be recorded as completed-for-learning, completed-for-review, accepted-with-limitations, accepted-for-incorporation, accepted-for-record, credited, rejected-after-review, corrected, superseded, withdrawn, archived, or non-continuation. Each completion state shall be defined by record.
56.13.3 Completion Criteria. Completion criteria may include required output submitted, format satisfied, source records attached, review completed, revisions addressed, public-safe language checked, data rules followed, AI-use rules followed, cyber rules followed, safeguard review completed where applicable, national routing completed where applicable, and credit rule applied. Completion criteria shall not imply downstream status.
56.13.4 Review and Adoption Separation. Quest completion shall be separate from adoption into a Pack, Rail, Schema, Connector, Agent, Dashboard, Evidence Product, Readiness Product, Safeguard Product, Deployment Unit, Marketplace Object, Registry Object, Studio Runtime Package, National Portfolio, Grid input, or Handoff Dependency Package. Adoption requires the applicable downstream record.
56.13.5 Completion and Credits. Quest completion may create contribution visibility or credits where the credit rule is satisfied. Credits shall recognize contribution; they shall not create certification, employment, governance authority, procurement qualification, provider validation, public authority status, financeability, consent, deployment authorization, or execution authority.
56.13.6 Completion and Public Claims. Participants shall not publicly represent Quest completion as Nexus approval, GCRI validation, GRF recognition, GRA readiness, public authority approval, procurement readiness, financeability, professional certification, maintainer appointment, reviewer appointment, deployment authorization, or execution responsibility unless a separate competent record supports the exact claim.
56.13.7 Completion Correction. Quest completion records shall be corrected where completion was recorded in error, required review was missing, output was later found unsafe, credits were misassigned, public claims overreached, or downstream use exceeded the Quest Record.
56.13.8 Completion Without Authority Boundary. Quest completion shall not prevent future use, adoption, publication, listing, registration, Studio use, Grid input, or handoff; it simply does not create those statuses by itself. Downstream status requires downstream process.
56.13.9 Quest Completion Formula. Quest Completion Without Authority shall follow the formula: complete the work by criteria; record review; credit contribution within scope; separate completion from adoption; correct completion errors; never let Quest completion become approval, certification, appointment, consent, deployment, or execution.
56.14 Quest Records and Credits
56.14.1 Quest Record Principle. Quest Records and Credits shall preserve the source, purpose, scope, contribution, review, acceptance, correction, attribution, learning value, public-good value, and archive memory of Quest work. Quest Records shall make distributed contribution accountable without turning contribution into authority.
56.14.2 Quest Record Elements. Each Quest Record shall include Quest identifier, title, source Backlog item, Quest class, steward, contributor or contributor class where appropriate, source records, output description, submission date, review status, reviewer, accepted elements, rejected elements, required corrections, completion state, credit eligibility, credits awarded where applicable, learning account relationship where applicable, downstream adoption status if any, correction history, archive rule, and prohibited interpretations.
56.14.3 Credit Identity. Credits shall be contribution-recognition records documenting that a participant contributed work within a defined Quest and that the contribution was reviewed or otherwise processed under the Quest Record. Credits may recognize technical work, evidence work, safeguard work, review support, documentation, translation, accessibility, testing, maintenance, public-safe work, correction work, or archive work.
56.14.4 Credit Classes. Credit classes may include learning credit, contribution credit, evidence credit, technical credit, data credit, AI credit, cyber credit, public-safe credit, safeguard credit, national portfolio credit, Academy-linked credit, documentation credit, translation credit, accessibility credit, review-support credit, support credit, correction credit, archive credit, and public-good service credit.
56.14.5 Credit Record. Each Credit Record shall identify contributor, Quest, contribution class, output, review state, credit basis, credit scope, date, steward, limitations, learning account relationship where applicable, public display status, correction pathway, archive rule, and prohibited claims.
56.14.6 Credit Without Employment or Authority. Credits shall not create employment, contractor status, compensation entitlement, governance authority, maintainer authority, reviewer authority, certification, procurement qualification, provider validation, public authority status, financeability, consent, deployment authorization, or execution authority unless separately and lawfully recorded.
56.14.7 Public Credit Display. Public display of Credits shall be claims-safe. Credit displays may recognize contribution but shall not imply that the contributor, institution, provider, sponsor, public authority, community, or Indigenous participant where applicable approved, certified, endorsed, consented to, deployed, or executed the work.
56.14.8 Credit Correction. Credit Records shall be corrected where attribution is wrong, contribution scope is misstated, review status is wrong, public display overclaims, contributor role is misrepresented, or Credits are used as certification, procurement qualification, employment claim, authority claim, or endorsement.
56.14.9 Final Quests Formula. The controlling Quests Formula is that Quests convert Backlog work into bounded learning and contribution units; Learning Quests teach by doing; Contributor Quests enable distributed production without role overclaim; Evidence Quests support claims without approving them; Observatory Quests support visibility without warning authority; Data Quests organize data without granting permission; AI Quests test and configure AI without certification or execution; Cyber Quests improve security without cybersecurity certification; Public-Safe Reporting Quests communicate without official warning or approval; Readiness Quests map dependencies without finance, procurement, or deployment effect; National Portfolio Quests preserve national ownership without government approval; Academy-Linked Quests connect work to learning without credential overclaim; Quest Completion creates no authority; and Quest Records and Credits preserve contribution memory without employment, governance, certification, procurement, finance, consent, deployment, or execution authority by implication.
57. Bounties
57.1 Bounty Definition
57.1.1 Bounty Identity. A Bounty in Nexus Foundry shall be a governed, bounded, task-specific, record-bearing, reviewable, acceptance-based, creditable, correctionable, and archive-ready unit of work issued to produce a defined output against a defined specification. A Bounty shall be more output-specific than a Quest and shall be used where Foundry requires a concrete deliverable, defect fix, documentation item, dataset preparation, schema update, connector component, dashboard element, test result, review note, safeguard artifact, public-safe summary, readiness map, or other bounded production contribution.
57.1.2 Bounty Purpose. Bounties shall convert Backlog and Quest work into precise, deliverable-based tasks that can be completed, reviewed, accepted, credited, corrected, rejected, or archived by record. Bounties shall increase distributed production capacity without allowing uncontrolled contribution, sponsor influence, provider preference, public authority ambiguity, finance-reader interest, or event urgency to bypass Foundry review, safeguard, support, public-safe, national-routing, and lifecycle controls.
57.1.3 Bounty as Production Contract Within Record, Not Employment by Implication. A Bounty may specify output, acceptance criteria, review pathway, credit rule, permitted tools, access limits, data limits, security conditions, AI-use conditions, payment or reward treatment where separately authorized, and attribution rules. Unless separately and lawfully contracted, a Bounty shall not create employment, contractor status, procurement qualification, vendor status, agency, partnership, governance authority, maintainer authority, reviewer authority, public authority status, deployment authority, operational responsibility, or execution authority.
57.1.4 Bounty Record. Each Bounty shall have a Bounty Record identifying bounty title, source Backlog item, source Quest where applicable, source records, object class, bounty class, steward, output specification, contributor eligibility, access class, data class, AI class, cyber class, public-safe class, safeguard class, national routing relevance, permitted tools, prohibited tools, required deliverables, acceptance criteria, reviewer, review pathway, credit rule, correction pathway, rejection rule, archive rule, and prohibited interpretations.
57.1.5 Bounty Classes. Bounty classes may include Technical Bounties, Documentation Bounties, Data Bounties, Schema Bounties, Connector Bounties, Dashboard Bounties, Test Bounties, Review Bounties, Safeguard Bounties, Public-Safe Summary Bounties, Readiness Mapping Bounties, Translation Bounties, Accessibility Bounties, Support Bounties, Correction Bounties, Archive Bounties, and Teardown Bounties.
57.1.6 Bounty Status Classes. Bounty status may include proposed, drafted, approved-for-posting, restricted, open, assigned, claimed, in-progress, submitted, review-pending, revision-required, accepted, accepted-with-limitations, rejected, credited, corrected, superseded, withdrawn, archived, or non-continuation. Bounty status shall exist only by record and shall not imply downstream status beyond the Bounty Record.
57.1.7 Bounty Boundary. Bounty posting, claiming, assignment, submission, acceptance, credit, public display, repository merge, Marketplace relationship, Registry reference, Studio use, National Portfolio relationship, Nexus Core Build use, or Nexus Universe visibility shall not create certification, recognition, employment, procurement qualification, provider validation, public authority approval, financeability, insurability, community consent, Indigenous consent where applicable, deployment authorization, operational command, or execution authority.
57.1.8 Bounty Correction. Bounty Records shall be corrected where scope is ambiguous, acceptance criteria are incomplete, data or tool access is excessive, safeguard requirements are missing, public-safe limits are weak, national routing is bypassed, reviewer authority is overstated, credits are misassigned, or bounty completion is used as certification, approval, consent, deployment, or execution claim.
57.1.9 Bounty Formula. Bounties shall operate according to the formula: define the deliverable; state acceptance criteria; restrict access and tools; review before acceptance; credit contribution within scope; correct errors and overclaims; archive completion; never let bounty participation, acceptance, or credit become certification, appointment, procurement status, consent, deployment, or execution.
57.2 Technical Bounties
57.2.1 Technical Bounty Identity. Technical Bounties shall be Bounties issued for bounded technical outputs, including code modules, scripts, configuration files, infrastructure templates, connector components, agent configurations, dashboard components, test harnesses, documentation-adjacent technical examples, build fixes, package improvements, runtime package updates, security hardening tasks, observability modules, Studio components, or Deployment Unit components.
57.2.2 Technical Bounty Purpose. Technical Bounties shall enable distributed engineering contribution while preserving repository discipline, code review, security review, dependency review, provider-neutrality review, support review, license review, public-safe review where relevant, and no-conversion discipline. Technical usefulness shall not create release, support, deployment, or execution authority.
57.2.3 Technical Bounty Record. Each Technical Bounty shall have a Technical Bounty Record identifying source repository or object, technical objective, expected files or components, architecture constraints, language or framework constraints, dependency limits, license constraints, test requirements, security requirements, AI-use rules where applicable, data-use rules where applicable, reviewer, acceptance criteria, support implications, correction pathway, archive rule, and prohibited interpretations.
57.2.4 Technical Output Classes. Technical outputs may include source code, API endpoint draft, connector module, schema validator, data transformation script, dashboard component, agent configuration, infrastructure-as-code fragment, Golden Image update, test harness, monitoring rule, logging configuration, security control, build pipeline adjustment, or documentation example.
57.2.5 Technical Review. Technical Bounty outputs shall be reviewed for correctness, maintainability, dependency risk, security posture, license compatibility, portability, provider-neutrality, test coverage, data handling, AI behavior where applicable, support burden, and compatibility with Foundry architecture. Merge or acceptance shall not substitute for release review.
57.2.6 Technical Access Limits. Contributors shall receive only necessary repository, sandbox, test, issue, or documentation access. Technical Bounties shall not grant production access, Registry write authority, Marketplace publishing authority, Studio activation authority, secure-room access, restricted data access, infrastructure command authority, or public communications authority unless separately recorded.
57.2.7 Technical Bounty Boundary. Completion, merge, test pass, review acceptance, or demonstration of a Technical Bounty shall not create technical certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, operational readiness, or execution authority.
57.2.8 Technical Bounty Correction. Technical Bounties shall be corrected where dependencies become unsafe, code introduces vulnerabilities, tests are insufficient, license terms are incompatible, provider lock-in is hidden, support burden is understated, or technical acceptance is represented as deployment approval.
57.2.9 Technical Bounty Formula. Technical Bounties shall follow the formula: build the defined component; review code, dependencies, security, and support; separate merge from release; correct technical drift; never let a technical deliverable become deployment authority.
57.3 Documentation Bounties
57.3.1 Documentation Bounty Identity. Documentation Bounties shall be Bounties issued for bounded documentation outputs, including README sections, user guides, installation notes, architecture notes, API documentation, schema documentation, Pack documentation, Profile documentation, connector documentation, agent documentation, dashboard documentation, Studio instructions, Marketplace descriptions, Registry descriptions, support notes, correction notes, archive notes, and handoff documentation.
57.3.2 Documentation Bounty Purpose. Documentation Bounties shall make Foundry objects understandable, usable within limits, reviewable, public-safe, accessible, translation-ready, and correctionable. Documentation shall explain what an object does and what it does not do. It shall not create unsupported claims, authority, approval, warranty, or deployment permission.
57.3.3 Documentation Bounty Record. Each Documentation Bounty shall have a Documentation Bounty Record identifying documentation object, audience, source records, controlled vocabulary requirements, public-safe requirements, accessibility requirements, translation requirements where applicable, boundary language required, technical accuracy requirements, support status language, correction pathway, reviewer, acceptance criteria, archive rule, and prohibited claims.
57.3.4 Documentation Output Classes. Documentation outputs may include technical documentation, public-safe documentation, controlled documentation, restricted documentation, Academy documentation, Marketplace description, Registry description, Studio instruction, deployment-preparation documentation, support documentation, correction documentation, and archive documentation.
57.3.5 Documentation Claims Control. Documentation Bounties shall require review for unsupported terms such as approved, certified, validated, official, financeable, insurable, procurement-ready, deployment-ready, operationally ready, consented, endorsed, or equivalent authority-bearing language unless a competent record supports the exact claim.
57.3.6 Documentation Review. Documentation outputs shall be reviewed for factual accuracy, source alignment, controlled vocabulary, no-conversion language, accessibility, translation integrity where applicable, public-safe meaning, technical clarity, support status accuracy, and consistency with Registry and Marketplace metadata where applicable.
57.3.7 Documentation Bounty Boundary. Documentation completion, publication, public display, Marketplace use, Registry use, Studio use, or Academy use shall not create approval, certification, public authority status, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
57.3.8 Documentation Bounty Correction. Documentation Bounties shall be corrected where language overclaims, translations change meaning, support status is wrong, boundary statements are missing, public-safe status is weak, or documentation is used as authority.
57.3.9 Documentation Bounty Formula. Documentation Bounties shall follow the formula: document source and limits; use controlled vocabulary; make boundaries visible; review before publication; correct stale documentation; never let explanatory text become approval or deployment permission.
57.4 Data Bounties
57.4.1 Data Bounty Identity. Data Bounties shall be Bounties issued for bounded data-related outputs, including dataset inventories, metadata records, data dictionaries, data-quality notes, provenance maps, classification records, transformation mappings, geospatial layer preparation, public-safe summaries, dataset cards, synthetic data preparation, data validation scripts, secure-room preparation, compute-to-data preparation, and archive preparation.
57.4.2 Data Bounty Purpose. Data Bounties shall make data more usable, traceable, classified, secure, and public-safe without creating data permission, publication rights, AI training rights, public authority use rights, finance-reader use rights, procurement use rights, deployment rights, or execution authority.
57.4.3 Data Bounty Record. Each Data Bounty shall have a Data Bounty Record identifying dataset or data class, source, steward, permitted task, prohibited task, access class, data class, sensitivity class, residency condition, custody rule, AI-use condition, transformation rule, output rule, metadata requirement, reviewer, acceptance criteria, correction pathway, archive rule, and prohibited interpretations.
57.4.4 Data Output Classes. Data Bounty outputs may include data inventory, metadata table, data dictionary entry, field mapping, data-quality report, provenance note, transformation script, validation rule, synthetic sample, public-safe aggregate, restricted summary, dataset card, geospatial sensitivity note, secure-room note, and archive note.
57.4.5 Data Access Discipline. Data Bounties shall use least access and least sensitive data necessary. Where feasible, contributors shall work with synthetic data, public-safe data, aggregate data, masked data, no-download environments, secure-room environments, or compute-to-data outputs instead of raw restricted data.
57.4.6 AI and Data Bounty Controls. Data Bounty contributors shall not use AI tools for retrieval, summarization, classification, translation, embedding, training, fine-tuning, or agent workflows unless the Bounty Record permits such use. AI shall not be used to bypass data classification or output review.
57.4.7 Data Bounty Boundary. Data Bounty completion, metadata acceptance, data-quality note, dataset card, or transformation script shall not create data ownership, unrestricted use rights, publication permission, AI training permission, public authority approval, procurement status, financeability, consent, deployment authorization, or execution authority.
57.4.8 Data Bounty Correction. Data Bounties shall be corrected where classification is wrong, sensitive data is exposed, metadata misleads, residency rules are missed, AI use exceeds scope, public-safe outputs overclaim, or data work is treated as permission.
57.4.9 Data Bounty Formula. Data Bounties shall follow the formula: classify before handling; minimize access; preserve provenance; restrict AI use; review outputs; correct data misuse; never let data deliverable become data permission.
57.5 Schema Bounties
57.5.1 Schema Bounty Identity. Schema Bounties shall be Bounties issued for bounded schema, ontology, controlled vocabulary, data dictionary, metadata model, validation rule, migration mapping, public-safe label, Marketplace metadata, Registry state metadata, Studio runtime metadata, readiness schema, safeguard schema, support schema, correction schema, archive schema, or handoff schema work.
57.5.2 Schema Bounty Purpose. Schema Bounties shall strengthen semantic interoperability without allowing contributors to redefine institutional meaning informally. They shall make records more consistent, machine-readable, localizable, and correctionable while preserving that schema conformance is not approval.
57.5.3 Schema Bounty Record. Each Schema Bounty shall have a Schema Bounty Record identifying schema or ontology element, source issue, affected object classes, proposed fields, controlled vocabulary dependencies, validation rules, compatibility requirements, localization implications, migration implications, authority-sensitive terms, reviewer, acceptance criteria, correction pathway, archive rule, and prohibited interpretations.
57.5.4 Schema Output Classes. Schema Bounty outputs may include schema field proposal, validation rule, ontology mapping, controlled vocabulary entry, metadata field, data dictionary entry, public-safe label, Registry state field, Marketplace metadata field, Studio runtime metadata field, local extension mapping, migration note, deprecation note, and archive mapping.
57.5.5 Authority-Sensitive Review. Schema Bounties affecting release status, support status, Registry status, Marketplace status, Studio status, TRL inputs, public authority terms, finance-readiness terms, procurement terms, consent terms, deployment terms, execution terms, safeguard terms, or public-safe labels shall require heightened review.
57.5.6 Local Extension Discipline. Schema Bounties for national, regional, sectoral, or institutional extensions shall preserve canonical identifiers, source lineage, controlled vocabulary, no-conversion language, correction links, and archive links. Local extensions shall not silently fork meaning.
57.5.7 Schema Bounty Boundary. Schema Bounty completion, validation success, or schema acceptance shall not create factual truth, legal sufficiency, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
57.5.8 Schema Bounty Correction. Schema Bounties shall be corrected where fields mislead, controlled terms drift, validation creates false authority, localization breaks compatibility, or schema work is used as approval.
57.5.9 Schema Bounty Formula. Schema Bounties shall follow the formula: structure meaning carefully; preserve controlled vocabulary; review authority-sensitive fields; migrate with record; correct semantic drift; never let schema validity become approval.
57.6 Connector Bounties
57.6.1 Connector Bounty Identity. Connector Bounties shall be Bounties issued for bounded connector, API, integration, mapping, authentication, authorization, logging, egress-control, schema-mapping, Registry-link, Marketplace-link, Studio-link, Observatory-link, National Node exchange, secure-room pathway, compute-to-data pathway, or handoff-interface work.
57.6.2 Connector Bounty Purpose. Connector Bounties shall improve interoperability while preserving that connection is not permission. They shall prevent unmanaged data flow, overbroad API access, hidden egress, broken schema mapping, provider lock-in, national routing bypass, and connector-as-authority overclaim.
57.6.3 Connector Bounty Record. Each Connector Bounty shall have a Connector Bounty Record identifying connector class, source system, destination system, data classes, metadata classes, schema dependencies, API dependencies, permitted operations, prohibited operations, authentication requirements, authorization requirements, security controls, egress rules, output-review rules, national routing relevance, reviewer, acceptance criteria, teardown rule, correction pathway, archive rule, and prohibited interpretations.
57.6.4 Connector Output Classes. Connector Bounty outputs may include connector code, API client, schema mapping, metadata mapping, authentication configuration, authorization rule, egress control, test fixture, mock connector, interoperability test, secure-room connector note, National Node connector note, Registry connector mapping, Marketplace connector mapping, Studio connector mapping, and teardown note.
57.6.5 Connector Security Review. Connector Bounty outputs shall be reviewed for least privilege, authentication, authorization, secrets handling, egress control, input validation, output validation, logging where appropriate, vulnerability risk, data classification, AI tool exposure, national routing, and support burden.
57.6.6 Connector Testing. Connector Bounties shall include testing for successful connection, failed authorization, prohibited data transfer, schema mismatch, metadata preservation, public-safe label preservation, Registry state preservation, national routing, and teardown where applicable.
57.6.7 Connector Bounty Boundary. Connector Bounty completion, successful sync, API response, interoperability test, or connector acceptance shall not create data permission, public authority approval, procurement status, financeability, consent, deployment authorization, operational command, or execution authority.
57.6.8 Connector Bounty Correction. Connector Bounties shall be corrected where data flows incorrectly, permissions are overbroad, schema mapping loses meaning, public-safe labels are stripped, egress risk appears, national routing is bypassed, or connector work is treated as permission.
57.6.9 Connector Bounty Formula. Connector Bounties shall follow the formula: build only bounded interfaces; preserve schema and labels; secure before activation; test failure modes; disconnect on risk; never let connector success become permission or authority.
57.7 Dashboard Bounties
57.7.1 Dashboard Bounty Identity. Dashboard Bounties shall be Bounties issued for bounded dashboard and visualization outputs, including chart components, map layers, dashboard labels, interface copy, confidence labels, uncertainty labels, drift labels, filtering logic, public-safe views, controlled views, restricted views, Observatory views, DRI views, readiness views, National Portfolio views, Marketplace views, Registry views, Studio views, correction views, and archive views.
57.7.2 Dashboard Bounty Purpose. Dashboard Bounties shall make visual systems useful without allowing visualization to become warning, rating, official classification, readiness approval, finance signal, procurement signal, consent signal, deployment authorization, or operational command.
57.7.3 Dashboard Bounty Record. Each Dashboard Bounty shall have a Dashboard Bounty Record identifying dashboard class, visualization objective, audience, source records, data fields, indicators, geospatial layers where applicable, labels required, access class, public-safe class, confidence label, uncertainty label, drift label, export rule, reviewer, acceptance criteria, correction pathway, withdrawal rule, archive rule, and prohibited interpretations.
57.7.4 Dashboard Output Classes. Dashboard Bounty outputs may include chart, map, legend, filter, label, explanatory text, tooltip, dashboard module, public-safe view, restricted view, Studio view, Marketplace view, Registry view, National Portfolio view, readiness view, correction view, or archive view.
57.7.5 Visualization Review. Dashboard Bounty outputs shall be reviewed for source alignment, false precision, color and threshold overclaim, warning-like design, rating implication, ranking implication, geospatial sensitivity, public-safe meaning, accessibility, translation where applicable, export risk, and dashboard support status.
57.7.6 Dashboard Data Conditions. Dashboard Bounties shall identify whether outputs may use synthetic data, public-safe data, aggregate data, national-only data, secure-room-only data, no-download data, compute-to-data outputs, or restricted data. Contributors shall not use unrestricted data unless recorded.
57.7.7 Dashboard Bounty Boundary. Dashboard Bounty completion, rendered visualization, public-safe candidate status, Studio candidate status, or Registry link shall not create public warning, official classification, procurement status, financeability, public authority approval, consent, deployment authorization, or execution authority.
57.7.8 Dashboard Bounty Correction. Dashboard Bounties shall be corrected where visuals mislead, labels are missing, sensitive information is exposed, uncertainty is hidden, public-safe language fails, or dashboard outputs are treated as authority.
57.7.9 Dashboard Bounty Formula. Dashboard Bounties shall follow the formula: visualize with source and labels; design against overclaim; restrict sensitive views; review before display; correct misleading visuals; never let dashboard deliverable become warning or approval.
57.8 Test Bounties
57.8.1 Test Bounty Identity. Test Bounties shall be Bounties issued for bounded testing outputs, including unit tests, integration tests, interoperability tests, security tests within authorized scope, AI evaluation tests, agent behavior tests, dashboard tests, connector tests, schema validation tests, data validation tests, public-safe label tests, Studio runtime tests, performance tests, accessibility tests, translation tests, support tests, teardown tests, and archive-reinstatement tests.
57.8.2 Test Bounty Purpose. Test Bounties shall improve confidence within scope by producing evidence that a defined test was performed under recorded conditions. They shall not convert test success into certification, approval, safety for all contexts, deployment authorization, or execution authority.
57.8.3 Test Bounty Record. Each Test Bounty shall have a Test Bounty Record identifying object tested, test purpose, test environment, test data, test method, expected result, permitted tools, prohibited tools, security boundaries, AI involvement where applicable, reviewer, acceptance criteria, proof record requirement, limitation statement, correction pathway, archive rule, and prohibited interpretations.
57.8.4 Test Output Classes. Test Bounty outputs may include test script, test plan, test fixture, test report, failure report, reproducibility note, benchmark note, interoperability report, security test note, AI evaluation note, red-team note, accessibility report, teardown verification note, and proof record.
57.8.5 Test Scope Discipline. Test Bounties shall state what is being tested and what is not being tested. A test pass in one environment shall not imply safety or readiness in another. A benchmark shall not imply generalized performance. A security scan shall not imply complete security. An AI evaluation shall not imply AI safety certification.
57.8.6 Authorized Testing. Security, cyber, infrastructure, connector, API, AI tool, and restricted-environment tests shall occur only within authorized scope. Contributors shall not perform live-system attacks, unauthorized penetration testing, credential probing, exploit deployment, data exfiltration, or public vulnerability disclosure outside the Bounty Record.
57.8.7 Test Bounty Boundary. Test Bounty completion, passing result, benchmark result, security scan result, red-team result, or proof record shall not create certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, operational readiness, or execution authority.
57.8.8 Test Bounty Correction. Test Bounties shall be corrected where test scope is ambiguous, results are overstated, failure cases are hidden, security testing exceeds scope, benchmark conditions are omitted, or test success is treated as certification.
57.8.9 Test Bounty Formula. Test Bounties shall follow the formula: test a defined behavior in a defined environment; record scope and limits; preserve failures; correct overclaim; never let test success become certification or deployment approval.
57.9 Review Bounties
57.9.1 Review Bounty Identity. Review Bounties shall be Bounties issued for bounded review outputs, including technical review, evidence review, data review, AI review, cyber review, public-safe review, safeguard review, accessibility review, translation review, documentation review, schema review, connector review, dashboard review, readiness review, Marketplace review, Registry review, Studio review, support review, archive review, and handoff review.
57.9.2 Review Bounty Purpose. Review Bounties shall allow Foundry to increase review capacity while preserving reviewer scope, reviewer independence, conflict disclosure, controlled vocabulary, review limits, correction pathways, and non-authority boundaries. Review supports decisions by competent pathways; review alone does not create approval beyond its recorded scope.
57.9.3 Review Bounty Record. Each Review Bounty shall have a Review Bounty Record identifying object reviewed, review purpose, review scope, reviewer eligibility, conflict disclosure requirements, source records, review criteria, required output, accepted finding types, prohibited findings, public-safe implications, correction pathway, acceptance criteria, archive rule, and prohibited interpretations.
57.9.4 Review Output Classes. Review Bounty outputs may include review note, issue list, acceptance-with-limitations note, rejection note, correction request, public-safe concern, safeguard concern, dependency note, no-reliance note, technical finding, evidence finding, security finding, support finding, and archive finding.
57.9.5 Review Scope Discipline. Review Bounties shall state whether the review is advisory, screening, technical, public-safe, safeguard, readiness, source-check, formal review within Foundry, or review-support. A review shall not be described as approval, certification, validation, or authorization unless the governing record permits that exact status.
57.9.6 Conflict Controls. Review Bounties shall require disclosure of provider, sponsor, capital, public authority, political, institutional, national, regional, community, Indigenous, or personal conflicts where relevant. Conflicts shall be recorded and managed.
57.9.7 Review Bounty Boundary. Review Bounty completion, positive finding, acceptance-with-limitations, or review credit shall not create certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, operational command, or execution authority.
57.9.8 Review Bounty Correction. Review Bounties shall be corrected where review scope is misstated, conflicts are omitted, reviewer role is overclaimed, findings are generalized beyond scope, or review output is treated as approval.
57.9.9 Review Bounty Formula. Review Bounties shall follow the formula: review within scope; disclose conflicts; state limits; route findings to competent records; correct review overclaim; never let review become certification or authorization.
57.10 Safeguard Bounties
57.10.1 Safeguard Bounty Identity. Safeguard Bounties shall be Bounties issued for bounded safeguard outputs relating to privacy, cyber, AI, public-safe communication, protected knowledge, community safeguards, Indigenous protocols where applicable, accessibility, health sensitivity, infrastructure sensitivity, geospatial sensitivity, public authority boundaries, consent boundaries, data handling, and lawful handoff conditions.
57.10.2 Safeguard Bounty Purpose. Safeguard Bounties shall ensure that Foundry production identifies and addresses risks affecting people, rights, communities, Indigenous peoples and institutions where applicable, data, knowledge, public meaning, and downstream use before release, publication, Marketplace listing, Registry display, Studio runtime, readiness mapping, National Portfolio use, Grid input, or handoff.
57.10.3 Safeguard Bounty Record. Each Safeguard Bounty shall have a Safeguard Bounty Record identifying affected object, safeguard domain, affected actors, data class, sensitivity class, risk pathway, required controls, permissions required where applicable, Indigenous protocol relevance where applicable, protected knowledge conditions, access restrictions, output-review requirements, national routing, reviewer, acceptance criteria, correction pathway, archive rule, and prohibited interpretations.
57.10.4 Safeguard Output Classes. Safeguard Bounty outputs may include risk note, affected-actor map, privacy note, cyber safeguard note, AI safeguard note, protected knowledge note, Indigenous protocol note where applicable, community safeguard note, accessibility note, public-safe communication note, geospatial sensitivity note, public authority boundary note, consent boundary note, and handoff safeguard note.
57.10.5 Safeguard Blocking Effect. Safeguard Bounty findings may block or restrict release, publication, Marketplace listing, Registry display, Studio runtime, public authority learning use, readiness mapping, National Portfolio use, Grid input, Deployment Unit packaging, or lawful handoff where unresolved risk exists. Blocking effect shall be recorded.
57.10.6 Participation Without Consent. Safeguard Bounties shall preserve that participation, contribution, dashboard viewing, Studio interaction, Nexus Universe visibility, public authority learning, community input, or Indigenous input where applicable shall not create consent, protected knowledge permission, social license, deployment approval, or execution authorization unless separately and lawfully recorded.
57.10.7 Safeguard Bounty Boundary. Safeguard Bounty completion, safeguard note, resolved-with-conditions status, or safeguard credit shall not create consent, legal compliance certification, public authority approval, deployment authorization, or execution authority.
57.10.8 Safeguard Bounty Correction. Safeguard Bounties shall be corrected where affected actors are missed, risk is understated, controls are weak, protected knowledge is exposed, Indigenous protocols are missed where applicable, accessibility fails, consent is implied without record, or safeguard work is treated as approval.
57.10.9 Safeguard Bounty Formula. Safeguard Bounties shall follow the formula: identify affected actors and knowledge; define controls before exposure; block unsafe movement where needed; preserve consent boundaries; correct safeguard failures; never let safeguard work become consent or approval.
57.11 Public-Safe Summary Bounties
57.11.1 Public-Safe Summary Bounty Identity. Public-Safe Summary Bounties shall be Bounties issued for bounded summaries that translate Foundry work into public-safe, controlled-public, participant-facing, public authority-learning, Marketplace-facing, Registry-facing, Studio-facing, Academy-facing, National Portfolio-facing, or Nexus Universe-facing language without overclaim.
57.11.2 Public-Safe Summary Bounty Purpose. Public-Safe Summary Bounties shall make complex work understandable while preserving limits. They shall prevent technical outputs, risk intelligence, readiness maps, dashboards, Studio sessions, Marketplace listings, Registry records, National Portfolio work, and handoff materials from being communicated as public warnings, ratings, approvals, financeability, procurement status, consent, deployment authorization, or execution authority.
57.11.3 Public-Safe Summary Bounty Record. Each Public-Safe Summary Bounty shall have a Public-Safe Summary Bounty Record identifying source object, audience, source records, summary purpose, public-safe class, data class, sensitivity class, required boundary language, required labels, accessibility needs, translation needs where applicable, reviewer, acceptance criteria, correction pathway, withdrawal rule, archive rule, and prohibited claims.
57.11.4 Public-Safe Summary Output Classes. Outputs may include plain-language summary, technical summary, public-safe brief, Marketplace description, Registry description, Studio description, dashboard summary, National Portfolio summary, public authority learning brief, Arena brief, correction notice, withdrawal notice, and archive note.
57.11.5 Summary Claims Control. Public-Safe Summary Bounties shall check for unsupported claims of approval, certification, recognition, official status, government involvement, financeability, insurability, procurement readiness, provider validation, sponsor endorsement, consent, deployment readiness, operational readiness, or execution.
57.11.6 Public-Safe Summary Review. Summaries shall be reviewed against source records, controlled vocabulary, public-safe labels, no-conversion language, accessibility, translation fidelity where applicable, sensitivity restrictions, and downstream use context.
57.11.7 Public-Safe Summary Bounty Boundary. Public-Safe Summary Bounty completion or publication shall not create public warning, official classification, public authority approval, certification, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
57.11.8 Public-Safe Summary Bounty Correction. Public-Safe Summary Bounties shall be corrected where wording misleads, source records change, labels are missing, translation weakens boundary meaning, public authority role is overstated, or summaries are used as authority.
57.11.9 Public-Safe Summary Bounty Formula. Public-Safe Summary Bounties shall follow the formula: summarize only within source records; make boundaries visible; use public-safe language; review before display; correct public meaning; never let summary become official status.
57.12 Readiness Mapping Bounties
57.12.1 Readiness Mapping Bounty Identity. Readiness Mapping Bounties shall be Bounties issued for bounded outputs that identify, structure, document, or update dependencies relevant to readiness, including technical readiness, TRL 1–10 inputs, support readiness, data readiness, cyber readiness, AI readiness, public authority dependencies, procurement dependencies, finance and insurance questions, donor and public finance relevance questions, safeguard dependencies, national routing, SPV-readiness, National Consortium Company readiness, and lawful handoff dependency mapping.
57.12.2 Readiness Mapping Bounty Purpose. Readiness Mapping Bounties shall make unresolved conditions visible without resolving them by implication. They shall support readiness products, readiness dashboards, finance-readable mappings, public authority learning, National Portfolio work, Deployment Units, Grid inputs, and handoff packages while preserving no-reliance and non-execution discipline.
57.12.3 Readiness Mapping Bounty Record. Each Readiness Mapping Bounty shall have a Readiness Mapping Bounty Record identifying source object, readiness purpose, dependency class, evidence basis, unresolved question, public authority dependency, legal dependency, procurement dependency, finance or insurance dependency, donor or public finance dependency, data dependency, cyber dependency, AI dependency where applicable, safeguard dependency, support dependency, national routing, no-reliance language, reviewer, acceptance criteria, correction pathway, archive rule, and prohibited claims.
57.12.4 Readiness Mapping Output Classes. Outputs may include dependency map, readiness note, TRL input note, data-readiness note, cyber-readiness note, AI-readiness note, public authority dependency note, procurement-neutrality note, finance-readability note, insurance-readability note, donor/public finance relevance note, safeguard dependency note, SPV-readiness note, and handoff dependency note.
57.12.5 No-Reliance Requirement. Readiness Mapping Bounties involving capital readers, insurers, donors, public finance actors, enterprise actors, National Consortium Companies, Project SPVs, or public authorities shall use no-reliance, non-advisory, non-soliciting, non-transactional, non-underwriting, non-commitment, competition-compliant, confidentiality-aware, and regulated-perimeter language.
57.12.6 Readiness Mapping Review. Outputs shall be reviewed for completeness, no-reliance language, dependency accuracy, public authority boundary, procurement neutrality, finance and insurance boundary, safeguard sufficiency, national routing, support status, and handoff implications.
57.12.7 Readiness Mapping Bounty Boundary. Completion of a Readiness Mapping Bounty shall not create financeability, bankability, insurability, investment advice, donor approval, public finance approval, procurement readiness, public authority approval, legal compliance, consent, deployment authorization, or execution authority.
57.12.8 Readiness Mapping Bounty Correction. Readiness Mapping Bounties shall be corrected where dependencies are omitted, no-reliance language is weak, finance or procurement language overclaims, public authority conditions are misstated, safeguards are incomplete, or mapping is treated as transaction or deployment signal.
57.12.9 Readiness Mapping Bounty Formula. Readiness Mapping Bounties shall follow the formula: map dependencies without resolving them; preserve no-reliance; frame questions for competent actors; correct changed assumptions; never let readiness mapping become finance, procurement, approval, consent, deployment, or execution.
57.13 Bounty Acceptance Criteria
57.13.1 Acceptance Criteria Identity. Bounty Acceptance Criteria shall be the recorded conditions that determine whether a Bounty output may be accepted, accepted with limitations, returned for revision, rejected, restricted, corrected, archived, or converted into downstream Foundry work. Acceptance criteria shall be defined before work is accepted and shall be proportionate to the Bounty class and risk.
57.13.2 Acceptance Criteria Purpose. Acceptance Criteria shall prevent subjective acceptance, informal favoritism, provider preference, sponsor pressure, event urgency, public authority ambiguity, capital-reader interest, contributor reputation, or institutional prestige from substituting for recorded quality, safety, public-good value, and boundary discipline.
57.13.3 Required Acceptance Elements. Bounty Acceptance Criteria shall identify expected deliverable, required format, source records, evidence requirements, test requirements, review requirements, data handling requirements, AI-use requirements, cyber requirements, public-safe language requirements, safeguard requirements, national routing requirements, support implications, correction requirements, attribution requirements, and prohibited claims.
57.13.4 Class-Specific Acceptance. Technical Bounties shall require technical review. Data Bounties shall require classification and provenance review. Schema Bounties shall require semantic and compatibility review. Connector Bounties shall require security and interoperability review. Dashboard Bounties shall require public-safe visualization review. Test Bounties shall require scope and proof review. Review Bounties shall require conflict and scope review. Safeguard Bounties shall require affected-actor and control review. Readiness Mapping Bounties shall require no-reliance review.
57.13.5 Acceptance States. Acceptance states may include accepted-as-submitted, accepted-with-limitations, accepted-for-learning-only, accepted-for-review-input, accepted-for-incorporation-pending-review, revision-required, rejected, restricted, corrected, superseded, archived, or non-continuation. Each state shall have recorded meaning.
57.13.6 Acceptance and Downstream Use. Acceptance of a Bounty output shall not automatically permit merge, release, publication, Marketplace listing, Registry update, Studio use, Grid input, National Portfolio inclusion, Deployment Unit packaging, or handoff inclusion. Downstream use requires the applicable downstream record.
57.13.7 Acceptance Criteria Boundary. Meeting Acceptance Criteria shall not create certification, approval, employment, maintainer status, reviewer status, procurement qualification, financeability, public authority approval, consent, deployment authorization, operational command, or execution authority.
57.13.8 Acceptance Criteria Correction. Acceptance Criteria shall be corrected where they are incomplete, too vague, unsafe, biased, inconsistent, missing safeguards, missing public-safe controls, missing no-reliance language, or used to overclaim downstream status.
57.13.9 Acceptance Criteria Formula. Acceptance Criteria shall follow the formula: define success before submission; review by class and risk; accept with limits where needed; separate acceptance from downstream adoption; correct criteria drift; never let acceptance become certification or deployment approval.
57.14 Bounty Completion Without Certification
57.14.1 Completion Without Certification Rule. Bounty Completion Without Certification shall be the controlling rule that completion, acceptance, credit, public display, or downstream consideration of a Bounty does not certify the contributor, certify the output, approve the object, validate a provider, approve procurement, create financeability, establish public authority approval, confer consent, authorize deployment, or create execution authority.
57.14.2 Completion Meaning. Bounty completion means only that the recorded deliverable was submitted and processed under the recorded acceptance pathway. Completion may support contribution credit, learning account updates, downstream review, repository incorporation, evidence record creation, Pack improvement, Registry update, Marketplace update, Studio improvement, or handoff dependency mapping only where separate downstream records permit.
57.14.3 Completion States. Completion states may include completed-for-learning, completed-for-review, accepted-for-record, accepted-for-limited-use, accepted-for-incorporation-pending-review, accepted-for-public-safe-review, accepted-for-Registry-review, accepted-for-Marketplace-review, accepted-for-Studio-review, accepted-for-handoff-review, rejected, corrected, superseded, withdrawn, archived, or non-continuation.
57.14.4 No Certification of Contributor. Completion shall not certify the contributor’s professional competence, role readiness, maintainer status, reviewer status, provider qualification, vendor status, public authority status, employment status, or execution authority. Contributor capability may be recorded only within the credit or learning record scope.
57.14.5 No Certification of Output. Completion shall not certify the output as safe, accurate for all contexts, compliant, deployable, financeable, insurable, procurement-ready, public authority-approved, consented, or operationally ready. The output remains subject to downstream review, correction, support limits, and archive.
57.14.6 Public Claims. Contributors, sponsors, providers, public authorities, universities, partners, media actors, National Nodes, councils, and implementation actors shall not represent bounty completion as Nexus approval, GCRI validation, GRF recognition, GRA readiness, Marketplace approval, Registry approval, Studio authorization, public authority approval, procurement qualification, financeability, consent, deployment authorization, or execution authority unless a separate competent record supports the exact claim.
57.14.7 Completion Correction. Completion records shall be corrected where completion was recorded in error, acceptance criteria were not met, review was incomplete, downstream use exceeded scope, public claims overreached, credits were misassigned, or completion was treated as certification.
57.14.8 Completion Without Certification Boundary. Completion without certification shall not prevent future certification-like processes where separately lawful and properly authorized outside default Foundry, but no such status shall arise from Bounty completion by implication.
57.14.9 Bounty Completion Formula. Bounty Completion Without Certification shall follow the formula: complete the deliverable; record acceptance limits; credit contribution within scope; require downstream review for downstream use; correct completion overclaim; never let Bounty completion become certification, procurement qualification, consent, deployment, or execution.
57.15 Bounty Records and Credits
57.15.1 Bounty Record Principle. Bounty Records and Credits shall preserve the source, specification, contributor, deliverable, submission, review, acceptance, limitations, correction, attribution, public-good value, learning value, downstream use, and archive memory of Bounty work. Bounty Records shall make distributed production accountable without turning accepted contribution into authority.
57.15.2 Bounty Record Elements. Each Bounty Record shall include bounty identifier, title, bounty class, source Backlog item, source Quest where applicable, steward, contributor or contributor class where appropriate, output specification, submitted deliverable, submission date, review status, reviewer, acceptance criteria, acceptance state, accepted elements, rejected elements, required corrections, credit eligibility, credits awarded where applicable, learning account relationship where applicable, downstream adoption status if any, correction history, archive rule, and prohibited interpretations.
57.15.3 Credit Identity. Bounty Credits shall be contribution-recognition records documenting that a participant completed or contributed to a Bounty within a defined scope and that the contribution was reviewed or otherwise processed under the Bounty Record. Credits shall recognize contribution; they shall not create certification, employment, procurement qualification, governance authority, public authority status, financeability, consent, deployment authorization, or execution authority.
57.15.4 Credit Classes. Bounty Credit classes may include technical credit, documentation credit, data credit, schema credit, connector credit, dashboard credit, test credit, review credit, safeguard credit, public-safe summary credit, readiness mapping credit, translation credit, accessibility credit, support credit, correction credit, archive credit, learning credit, and public-good service credit.
57.15.5 Credit Record. Each Bounty Credit Record shall identify contributor, bounty, contribution class, deliverable, review state, acceptance state, credit basis, credit scope, date, steward, limitations, learning account relationship where applicable, public display status, correction pathway, archive rule, and prohibited claims.
57.15.6 Credits Without Employment or Governance. Bounty Credits shall not create employment, contractor status, compensation entitlement unless separately recorded, governance authority, maintainer authority, reviewer authority, certification, procurement qualification, provider validation, public authority status, financeability, consent, deployment authorization, or execution responsibility.
57.15.7 Public Credit Display. Public display of Bounty Credits shall be claims-safe. Credit displays may recognize contribution, but shall not imply that the contributor, provider, sponsor, public authority, university, community, Indigenous participant where applicable, or institution approved, certified, endorsed, consented to, deployed, operated, or executed the work.
57.15.8 Bounty Record and Credit Correction. Bounty Records and Credits shall be corrected where attribution is wrong, acceptance state is wrong, review state is wrong, contributor role is overstated, downstream adoption is misstated, public display overclaims, or credits are used as certification, procurement qualification, employment claim, authority claim, or endorsement.
57.15.9 Final Bounties Formula. The controlling Bounties Formula is that Bounties convert Backlog and Quest work into defined deliverables; Technical Bounties produce bounded technical components; Documentation Bounties explain objects without authority overclaim; Data Bounties structure data without granting permission; Schema Bounties structure meaning without approval; Connector Bounties build interfaces without permission; Dashboard Bounties visualize without warning or decision authority; Test Bounties prove test performance without certification; Review Bounties provide scoped review without authorization; Safeguard Bounties protect people, rights, data, and knowledge without replacing consent; Public-Safe Summary Bounties communicate without official status; Readiness Mapping Bounties map dependencies without finance, procurement, approval, consent, deployment, or execution; Acceptance Criteria define completion without downstream status; Completion creates no certification; and Bounty Records and Credits preserve contribution memory without employment, governance, procurement, finance, public authority, consent, deployment, or execution authority by implication.
58. Builds
58.1 Build Definition
58.1.1 Build Identity. A Build in Nexus Foundry shall be a governed, record-bearing, time-bounded, reviewable, support-aware, correctionable, and archive-ready production activity through which one or more Backlog items, Quests, Bounties, Packs, Rails, Profiles, Schemas, Connectors, Agents, Dashboards, Evidence Products, Readiness Products, Safeguard Products, Deployment Units, Marketplace Objects, Registry Objects, Studio Runtime Packages, National Portfolio objects, Observatory objects, or Handoff Dependency Packages are assembled, configured, tested, documented, reviewed, and prepared for a defined Foundry status. A Build shall produce an output capable of review; it shall not produce deployment authority by implication.
58.1.2 Build Purpose. Builds shall convert distributed work into coherent Foundry outputs while preserving source records, component lineage, evidence discipline, public-safe limits, national routing, safeguard obligations, data controls, AI controls, cyber controls, support capacity, provider neutrality, sponsor non-control, correctionability, and lifecycle responsibility. A Build shall answer what is being assembled, why it is justified, what records support it, what risks apply, what review gates remain, what support exists, what status is sought, and what cannot be claimed.
58.1.3 Build as Recomposition Discipline. Builds shall serve as the recomposition layer after micro-production. Quests and Bounties may produce fragments; Builds shall determine whether those fragments can safely become an integrated Pack, Rail, dashboard, connector, agent, Studio runtime, Marketplace object, Registry record, National Portfolio element, Core Build output, Arena output, or handoff-preparation object. Component completion shall not automatically justify integrated release.
58.1.4 Build Record. Each Build shall have a Build Record identifying Build title, Build class, source Backlog items, source Quests, source Bounties, source records, steward, contributors, reviewers, components included, components excluded, package boundary, version, data class, AI class, cyber class, public-safe class, safeguard class, national routing class, support class, evidence dependencies, readiness dependencies, Marketplace relationship, Registry relationship, Studio relationship, Grid relationship where applicable, handoff relationship where applicable, release target, correction pathway, archive rule, and prohibited interpretations.
58.1.5 Build Classes. Build classes may include Core Builds, Pack Builds, Rail Builds, Dashboard Builds, Observatory Builds, AI and Agent Builds, Data Room Builds, Secure Room Builds, National Portfolio Builds, Arena Builds, Marketplace Builds, Registry Builds, Studio Runtime Builds, Deployment Unit Builds, Connector Builds, Evidence Builds, Readiness Builds, Safeguard Builds, Support Builds, Correction Builds, Teardown Builds, and Archive Builds.
58.1.6 Build Status Classes. Build status may include proposed, scoped, component-inventory, dependency-review-pending, data-review-pending, AI-review-pending, cyber-review-pending, safeguard-review-pending, national-routing-pending, public-safe-review-pending, build-ready, in-build, test-pending, review-pending, release-candidate, support-review-pending, correction-required, restricted, suspended, withdrawn, released-by-record, archived, or non-continuation. Build status shall exist only by record.
58.1.7 Build Boundary. Build initiation, build completion, test pass, live demonstration, release-candidate status, Core Build use, Arena use, Marketplace candidate status, Registry candidate status, Studio-ready status, Grid input status, or handoff-candidate status shall not create recognition, certification, public authority approval, procurement status, financeability, insurability, community consent, Indigenous consent where applicable, deployment authorization, operational command, or execution authority.
58.1.8 Build Correction. Build Records shall be corrected where components are misidentified, dependencies are omitted, tests are overstated, public-safe labels are missing, AI or cyber risk is understated, national routing is bypassed, safeguard review is incomplete, support status is overstated, provider or sponsor influence is hidden, or Build status is used as approval or deployment claim.
58.1.9 Build Formula. Builds shall operate according to the formula: recompose work from records; review components and integration; test before release; support only by record; correct build drift; archive non-current outputs; never let build success become certification, approval, consent, deployment, or execution.
58.2 Core Builds
58.2.1 Core Build Identity. Core Builds shall be high-intensity, time-bounded, infrastructure-aware, record-bearing Foundry Builds that assemble temporary or semi-temporary technical, institutional, evidence, Observatory, Studio, dashboard, connector, AI, data, compute, network, public-safe, readiness, safeguard, and handoff-preparation capabilities around Nexus Core Build cycles. Core Builds shall concentrate distributed capability into a powerful build environment while preserving that temporary stack does not become permanent authority.
58.2.2 Core Build Purpose. Core Builds shall convert year-round Foundry preparation into concentrated production, testing, demonstration, evidence formation, systems learning, public authority learning, national portfolio preparation, Nexus Universe readiness, Marketplace and Registry preparation, Studio runtime preparation, support learning, correction learning, and archive memory. Their controlling principle shall be temporary stack, permanent record.
58.2.3 Core Build Record. Each Core Build shall have a Core Build Record identifying cycle, location or environment where applicable, steward, build purpose, source Backlog items, build components, compute environment, network environment, data environment, AI systems where applicable, security controls, contributor roles, reviewer roles, public-safe review, safeguard review, national routing, expected outputs, teardown plan, support plan, correction pathway, archive rule, and prohibited interpretations.
58.2.4 Core Build Components. Core Builds may assemble dense compute, HPC, GPU capacity, research network fabric, Science DMZ or research data zones where appropriate, secure rooms, no-download rooms, data rooms, dashboards, Observatory modules, digital twins, Studio runtimes, AI agents, connectors, evidence products, Packs, Profiles, Deployment Units, public-safe reports, Academy exercises, and handoff dependency materials.
58.2.5 Core Build Review Gates. Core Builds shall require pre-build scoping, environment review, data review, cyber review, AI review, public-safe review, safeguard review, national routing review, support review, teardown review, and post-build review proportionate to risk. Build urgency shall not eliminate review gates.
58.2.6 Core Build Teardown. Core Builds shall include teardown verification for temporary compute, network routes, credentials, keys, certificates, accounts, dashboards, public links, Studio sessions, data stores, agents, connectors, and demonstration environments. Continuing any Core Build component after the cycle shall require current support and status records.
58.2.7 Core Build Boundary. Successful Core Build operation, live demonstration, high-performance result, stakeholder visibility, Nexus Universe display, public authority attendance, capital-reader viewing, provider contribution, or sponsor support shall not create deployment authorization, procurement status, financeability, public authority approval, consent, operational command, or execution authority.
58.2.8 Core Build Correction. Core Builds shall be corrected where temporary environments persist without authority, teardown is incomplete, dependencies are hidden, demonstrations overclaim maturity, public-safe materials imply approval, stakeholder attendance is overstated, or Core Build success is used as deployment permission.
58.2.9 Core Build Formula. Core Builds shall follow the formula: prepare year-round; concentrate capability temporarily; record everything permanently; review and tear down deliberately; route reusable outputs; archive learning; never let temporary technical success become permanent authority.
58.3 Pack Builds
58.3.1 Pack Build Identity. Pack Builds shall be Builds that assemble, update, localize, test, review, support, correct, retire, or archive Foundry Packs, including Domain Packs, Sector Packs, National Packs, Regional Packs, Observatory Packs, DRI Packs, Public Authority Learning Packs, Readiness Packs, Safeguard Packs, Academy Packs, Marketplace Packs, Studio Runtime Packs, Handoff Packs, and Teardown and Archive Packs.
58.3.2 Pack Build Purpose. Pack Builds shall convert repeated needs, completed Quests, accepted Bounties, evidence products, schemas, templates, dashboards, connectors, agents, support notes, public-safe summaries, and handoff dependencies into reusable public-good capability. Pack Builds shall prevent useful fragments from remaining isolated or being packaged without lineage, review, support, and boundaries.
58.3.3 Pack Build Record. Each Pack Build shall have a Pack Build Record identifying Pack class, source need, source records, included components, excluded components, component versions, Pack steward, intended users, localization needs, support class, data requirements, AI requirements, security requirements, public-safe class, safeguard class, Marketplace relationship, Registry relationship, Studio relationship where applicable, handoff relationship where applicable, correction pathway, archive rule, and prohibited interpretations.
58.3.4 Pack Composition Review. Pack Builds shall review each component and the composed Pack. A component accepted through a Quest or Bounty shall not automatically be safe in combination with other components. Composition may create new data, AI, cyber, public-safe, safeguard, provider-neutrality, support, or handoff risks.
58.3.5 Pack Localization. Pack Builds involving National Packs, Regional Packs, Sector Packs, or localized Pack variants shall preserve baseline lineage, controlled vocabulary, version references, correction links, support status, no-conversion language, and semantic compatibility. Localization shall not silently fork the rail.
58.3.6 Pack Support Planning. Pack Builds shall define support class, maintainers where applicable, update cadence, dependency update responsibilities, security update responsibilities, documentation status, user obligations, end-of-support conditions, and archive conditions. Unsupported Packs shall be labeled as such.
58.3.7 Pack Build Boundary. Pack Build completion, Pack release-candidate status, Pack listing, Pack Registry presence, Pack Studio use, or Pack handoff relationship shall not create certification, procurement bundle status, financeability, public authority approval, community consent, Indigenous consent where applicable, deployment authorization, or execution authority.
58.3.8 Pack Build Correction. Pack Builds shall be corrected where components become stale, support is overstated, localization drifts, provider dependencies are hidden, public-safe language overclaims, safeguards are incomplete, or Pack status is treated as approved solution status.
58.3.9 Pack Build Formula. Pack Builds shall follow the formula: assemble repeatable capability; review components and composition; localize with lineage; state support; correct Pack drift; never let packaging become certification, procurement, finance, consent, deployment, or execution.
58.4 Rail Builds
58.4.1 Rail Build Identity. Rail Builds shall be Builds that create, update, test, document, localize, correct, retire, or archive Nexus Rails used by Foundry to route work through evidence, observability, readiness, public authority learning, national routing, Marketplace, Registry, Studio runtime, Grid input, archive, correction, teardown, and lawful handoff pathways.
58.4.2 Rail Build Purpose. Rail Builds shall make movement of work governable. They shall define how objects enter, advance, pause, review, release, list, register, run, correct, withdraw, hand off, decommission, or archive. Rail Builds shall prevent Foundry work from moving informally through influence, urgency, or ambiguity.
58.4.3 Rail Build Record. Each Rail Build shall have a Rail Build Record identifying Rail name, purpose, object classes, entry conditions, required records, review gates, status states, reviewer roles, national routing triggers, public-safe triggers, safeguard triggers, data controls, AI controls, security controls, support controls, exit conditions, correction pathway, archive rule, and prohibited interpretations.
58.4.4 Rail Workflow Components. Rail Builds may include workflow diagrams, status schemas, intake forms, review templates, proof records, dashboard status views, Registry state mappings, Marketplace state mappings, Studio state mappings, notification rules, correction rules, escalation rules, archive rules, and no-conversion language.
58.4.5 Rail Testing. Rail Builds shall be tested through representative cases, negative cases, misrouting cases, missing-record cases, high-risk data cases, public authority-sensitive cases, finance-sensitive cases, consent-sensitive cases, national-routing cases, and archive cases. A Rail shall be tested for governance meaning, not only workflow usability.
58.4.6 Rail Change Control. Changes to Rail states, review gates, status labels, public-safe triggers, national routing triggers, handoff triggers, or authority-sensitive wording shall require heightened review and correction of dependent records.
58.4.7 Rail Build Boundary. Rail Build completion, Rail activation, or successful routing shall not create approval, certification, procurement status, financeability, public authority approval, consent, deployment authorization, or execution authority. A Rail governs movement; it does not grant external authority.
58.4.8 Rail Build Correction. Rail Builds shall be corrected where review gates are missing, status labels overclaim, national routing is bypassed, public-safe review is optional where required, handoff status is overstated, or Rail movement is used as approval.
58.4.9 Rail Build Formula. Rail Builds shall follow the formula: build the pathway; define records and gates; test edge cases; correct misrouting; archive obsolete pathways; never let workflow movement become authority.
58.5 Dashboard Builds
58.5.1 Dashboard Build Identity. Dashboard Builds shall be Builds that assemble, configure, review, test, label, support, correct, withdraw, or archive Dashboards and Visualization Systems, including public-safe, controlled, restricted, Observatory, DRI, digital twin, readiness, National Portfolio, Marketplace, Registry, Studio, support, correction, and archive dashboards.
58.5.2 Dashboard Build Purpose. Dashboard Builds shall convert data, metadata, evidence, indicators, maps, models, status records, support records, labels, and user-interface components into visual systems that communicate bounded meaning. Dashboard Builds shall treat visualization as interpretation and shall design against false precision, warning implication, rating implication, approval implication, and deployment implication.
58.5.3 Dashboard Build Record. Each Dashboard Build shall have a Dashboard Build Record identifying dashboard class, audience, purpose, source records, source datasets, indicator definitions, geospatial layers, model dependencies, AI involvement where applicable, data class, access class, public-safe class, confidence labels, uncertainty labels, drift labels, refresh cadence, support status, export rules, public-safe review, safeguard review, national routing, correction pathway, withdrawal pathway, archive rule, and prohibited interpretations.
58.5.4 Dashboard Design Review. Dashboard Builds shall review colors, thresholds, icons, alerts, ranks, scores, maps, legends, labels, tooltips, export functions, screenshots, public links, language, accessibility, translation, and mobile or projected display where applicable. Design shall not create warning-like, rating-like, finance-like, procurement-like, consent-like, or command-like interpretation.
58.5.5 Dashboard Data and Access Controls. Dashboard Builds shall enforce whether the dashboard uses synthetic data, public-safe data, aggregate data, national-only data, secure-room-only data, no-download data, compute-to-data output, or restricted data. Dashboard access shall be role-bound and purpose-bound.
58.5.6 Dashboard Testing. Dashboard Builds shall test data freshness, label visibility, access restrictions, export restrictions, map sensitivity, uncertainty display, drift display, public-safe language, misleading visualization risks, and correction workflow.
58.5.7 Dashboard Build Boundary. Dashboard Build completion, dashboard activation, dashboard public display, dashboard Studio use, dashboard Marketplace display, dashboard Registry link, or dashboard National Portfolio display shall not create public warning, official classification, public authority approval, procurement status, financeability, consent, deployment authorization, or operational command.
58.5.8 Dashboard Build Correction. Dashboard Builds shall be corrected where data becomes stale, labels are missing, maps expose sensitive information, visuals imply warnings or ratings, public-safe language fails, or dashboard display is treated as decision authority.
58.5.9 Dashboard Build Formula. Dashboard Builds shall follow the formula: build visualization from sourced records; label confidence, uncertainty, freshness, and drift; restrict sensitive views; test public meaning; correct misleading displays; never let dashboard activation become warning or approval.
58.6 Observatory Builds
58.6.1 Observatory Build Identity. Observatory Builds shall be Builds that assemble Nexus Observatory capabilities, including Observatory Nodes, Edge integrations, sensor pathways, telemetry streams, indicator libraries, geospatial layers, Earth observation interfaces, DRI pipelines, GRIx context modules, dashboards, digital twin inputs, public-safe observability outputs, confidence labels, uncertainty labels, drift labels, correction pathways, and archive records.
58.6.2 Observatory Build Purpose. Observatory Builds shall make systems visible through provenance, classification, validation, public-safe limits, national routing, safeguards, and correction. They shall support learning, evidence formation, National Portfolio development, public authority learning, readiness mapping, Studio simulation, and public-safe reporting without becoming warning, surveillance, rating, public authority decision, finance signal, procurement signal, consent, deployment, or command.
58.6.3 Observatory Build Record. Each Observatory Build shall have an Observatory Build Record identifying observability purpose, source signals, data sources, sensor or Edge integrations, geospatial layers, indicator definitions, pipeline logic, compute environment, AI involvement where applicable, data class, sensitivity class, public-safe class, national routing, safeguard conditions, dashboard outputs, validation status, correction pathway, archive rule, and prohibited interpretations.
58.6.4 Sensor and Edge Integration. Observatory Builds involving sensors, Edge systems, IoT, OT, AI-RAN/O-RAN-related observability points, local instrumentation, or community-grounded inputs shall separate sensing from control. Write, actuation, or command functions shall be disabled unless separately authorized outside default Foundry operations.
58.6.5 Geospatial and Sensitive Layer Controls. Observatory Builds shall protect sensitive locations, critical infrastructure, cyber-sensitive systems, community vulnerability, protected knowledge, Indigenous-sensitive knowledge or places where applicable, health-sensitive information, and public authority-sensitive information through masking, aggregation, delay, suppression, restricted access, or secure-room controls.
58.6.6 Observatory Validation. Observatory Builds shall validate source provenance, signal quality, indicator definitions, sensor status, update cadence, confidence, uncertainty, drift, dashboard interpretation, public-safe status, and correction mechanisms.
58.6.7 Observatory Build Boundary. Observatory Build completion, live signal display, dashboard activation, DRI output, GRIx context, digital twin update, or public-safe observability summary shall not create official warning, risk rating, public authority classification, surveillance authority, insurance determination, investment signal, procurement priority, consent, deployment authorization, or operational command.
58.6.8 Observatory Build Correction. Observatory Builds shall be corrected where signals drift, sensors fail, geospatial sensitivity is exposed, uncertainty is hidden, dashboards mislead, national routing is bypassed, or observability outputs are used as warning or authority.
58.6.9 Observatory Build Formula. Observatory Builds shall follow the formula: connect signals with provenance; validate indicators; label confidence, uncertainty, and drift; protect sensitive visibility; correct misleading observability; never let observation become warning or command.
58.7 AI and Agent Builds
58.7.1 AI and Agent Build Identity. AI and Agent Builds shall be Builds that assemble, configure, test, red-team, document, support, restrict, suspend, correct, retire, or archive AI models, AI systems, agent configurations, retrieval workflows, tool-using agents, prompt workflows, evaluation harnesses, automated claim-prevention mechanisms, model cards, system cards, agent records, Studio agents, dashboard agents, Marketplace agents, Registry agents, and support agents.
58.7.2 AI and Agent Build Purpose. AI and Agent Builds shall enable responsible use of AI in Foundry while preventing hidden authority, uncontrolled automation, hallucinated claims, overbroad tool use, restricted data exposure, public authority confusion, finance or procurement overclaim, consent inference, deployment authorization, or execution by agentic behavior.
58.7.3 AI and Agent Build Record. Each AI and Agent Build shall have an AI and Agent Build Record identifying model, system, agent, purpose, model dependencies, tool permissions, data permissions, retrieval scope, memory rules, prompt or workflow logging where appropriate, autonomy level, human approval points, red-team plan, evaluation criteria, output-review rules, public-safe controls, support status, shutdown triggers, correction pathway, archive rule, and prohibited interpretations.
58.7.4 Agent Permission Design. AI and Agent Builds shall use least privilege, sandboxing where appropriate, tool allowlists, tool denylists, restricted data rules, no-training rules where applicable, memory restrictions, session limits, external communication limits, and human approval points for material outputs or actions.
58.7.5 AI Evaluation and Red-Team. AI and Agent Builds shall test for hallucination, tool misuse, prompt injection, data leakage, unauthorized inference, unsupported authority claims, public-safe failure, bias where relevant, safeguard failure, overconfident summarization, and improper recommendations relating to finance, procurement, public authority, consent, deployment, or execution.
58.7.6 AI Output Control. AI outputs shall be labeled as draft, suggestion, review-support, analysis-support, restricted, public-safe candidate, or reviewed output as applicable. AI output shall not update Registry status, publish Marketplace listings, activate Studio runtime, issue public communications, approve readiness, infer consent, or trigger handoff without human review and competent record.
58.7.7 AI and Agent Build Boundary. AI and Agent Build completion, evaluation result, red-team note, model-card completion, system-card completion, agent activation in Studio, or successful AI workflow shall not certify the AI system, approve AI safety, authorize sensitive data use, create public authority approval, procurement status, financeability, consent, deployment authorization, or execution authority.
58.7.8 AI and Agent Build Correction. AI and Agent Builds shall be corrected, restricted, suspended, shut down, or archived where models change, agents overreach, tools exceed scope, data leakage occurs, claims controls fail, public-safe language fails, or AI outputs are treated as authority.
58.7.9 AI and Agent Build Formula. AI and Agent Builds shall follow the formula: register models and agents; restrict data and tools; evaluate and red-team; require human review for meaning; shut down on drift; never let AI capability become hidden authority or execution.
58.8 Data Room Builds
58.8.1 Data Room Build Identity. Data Room Builds shall be Builds that assemble controlled data environments, data rooms, no-download rooms, clean rooms, compute-to-data environments, metadata catalogs, data dictionaries, dataset records, access controls, output-review pathways, retention rules, deletion rules, archive rules, and user guidance for bounded data work.
58.8.2 Data Room Build Purpose. Data Room Builds shall allow authorized users to examine, classify, compute against, review, or prepare data under controlled conditions without creating unrestricted access, raw extraction, publication permission, AI training permission, public authority approval, finance-reader permission, procurement permission, deployment authorization, or execution authority.
58.8.3 Data Room Build Record. Each Data Room Build shall have a Data Room Build Record identifying data room purpose, data sources, data classes, sensitivity classes, custodians, access roles, residency rules, permitted operations, prohibited operations, AI-use rules, no-download rules, compute-to-data rules, output-review rules, logging rules where appropriate, retention rules, deletion or sealing rules, correction pathway, teardown rule, archive rule, and prohibited interpretations.
58.8.4 Data Room Access Controls. Data Room Builds shall implement least privilege, role-based access, purpose-bound access, time-bounded access where appropriate, no-download controls where required, output review, auditability proportionate to risk, and revocation pathways. Access shall not be granted by prestige, sponsor status, provider role, or capital-reader interest alone.
58.8.5 Data Room Output Controls. Outputs leaving a Data Room shall be reviewed for re-identification, sensitive metadata, protected knowledge, Indigenous-sensitive knowledge where applicable, public authority sensitivity, cyber sensitivity, infrastructure sensitivity, public-safe meaning, finance or procurement implication, consent implication, and handoff implication.
58.8.6 Data Room and AI. AI tools, agents, embeddings, model training, fine-tuning, summarization, translation, or classification within a Data Room shall require explicit permission in the Data Room Build Record. AI outputs shall remain subject to output review.
58.8.7 Data Room Build Boundary. Data Room Build completion, access grant, controlled analysis, output review, or data-room summary shall not create data ownership, unrestricted use rights, publication permission, AI training rights, public authority approval, procurement status, financeability, consent, deployment authorization, or execution authority.
58.8.8 Data Room Build Correction. Data Room Builds shall be corrected, restricted, suspended, or torn down where access is excessive, data classification changes, output review fails, AI use exceeds scope, raw extraction occurs, or data-room access is treated as permission beyond record.
58.8.9 Data Room Build Formula. Data Room Builds shall follow the formula: create controlled data access; minimize movement; review outputs; restrict AI; close access when purpose ends; never let data room availability become data permission.
58.9 Secure Room Builds
58.9.1 Secure Room Build Identity. Secure Room Builds shall be Builds that assemble high-control environments for sensitive data, cyber-sensitive systems, infrastructure-sensitive materials, public authority-sensitive materials, health-sensitive materials, protected knowledge, Indigenous-sensitive knowledge where applicable, legal-sensitive materials, incident materials, restricted AI workflows, restricted dashboards, and secure analysis.
58.9.2 Secure Room Build Purpose. Secure Room Builds shall allow necessary restricted work while preventing unauthorized access, raw data extraction, sensitive metadata leakage, uncontrolled AI use, public exposure, public authority overclaim, cyber exposure, protected knowledge harm, consent overclaim, deployment implication, or execution by restricted systems.
58.9.3 Secure Room Build Record. Each Secure Room Build shall have a Secure Room Build Record identifying secure room purpose, environment class, data and material classes, access roles, identity controls, privileged access controls, no-download rules, no-export rules, approved workloads, prohibited workloads, AI-use limits, tool permissions, logging rules where appropriate, output-review rules, incident pathway, teardown rule, archive rule, and prohibited interpretations.
58.9.4 Secure Room Controls. Secure Room Builds may include strong identity controls, privileged access management, encrypted storage where required, network segmentation, egress controls, hardened images, controlled tools, screen capture controls where appropriate, clean-room workflows, no-download restrictions, compute-to-data patterns, secrets controls, monitoring where appropriate, and secure teardown.
58.9.5 Secure Room Output Review. No output shall leave a Secure Room unless reviewed under the output-review rule applicable to its sensitivity class. Output review shall assess public-safe meaning, re-identification risk, protected knowledge exposure, Indigenous protocol sensitivity where applicable, infrastructure and cyber sensitivity, public authority sensitivity, finance or procurement implication, consent implication, and handoff implication.
58.9.6 Secure Room Incident Pathway. Secure Room Builds shall include incident response for unauthorized access, credential leakage, data leakage, AI leakage, output-review bypass, screenshot breach, no-download failure, protected knowledge exposure, Indigenous protocol breach where applicable, public authority-sensitive exposure, and cyber-sensitive exposure.
58.9.7 Secure Room Build Boundary. Secure Room Build completion, secure-room access, clean-room analysis, output review, or restricted dashboard display shall not create legal compliance certification, cybersecurity certification, public authority approval, procurement status, financeability, insurability, consent, deployment authorization, or execution authority.
58.9.8 Secure Room Build Correction. Secure Room Builds shall be corrected, suspended, access-closed, or archived where controls fail, outputs leak, AI exceeds scope, access is overbroad, sensitive materials are exposed, or secure-room status is treated as certification or approval.
58.9.9 Secure Room Build Formula. Secure Room Builds shall follow the formula: restrict sensitive work to controlled environments; block raw egress; review every output; shut down on leakage; preserve archive; never let secure-room work become certification, consent, or execution.
58.10 National Portfolio Builds
58.10.1 National Portfolio Build Identity. National Portfolio Builds shall be Builds that assemble country-level Foundry outputs through National Nexus Nodes, National Nexus Consortiums, National Councils, Helix Councils, National Working Groups, Competence Cells, National Dense Nexus Cores, public authority learning pathways, national Observatory work, national DRI work, national readiness mapping, national safeguards, national Studio preparation, national Marketplace context, national Registry records, and lawful national handoff pathways.
58.10.2 National Portfolio Build Purpose. National Portfolio Builds shall preserve national ownership before local delivery by converting national priorities, national evidence, national observability, national readiness questions, national public-safe materials, national safeguards, and national handoff dependencies into coherent country-level portfolio objects without creating government approval or implementation authority.
58.10.3 National Portfolio Build Record. Each National Portfolio Build shall have a National Portfolio Build Record identifying country, National Node pathway, source records, source Backlog items, portfolio purpose, objects included, objects excluded, data classes, public authority sensitivities, community safeguard conditions, Indigenous protocol conditions where applicable, language and accessibility needs, national support status, readiness status, public-safe status, Registry relationship, Marketplace relationship, Studio relationship, handoff relationship, correction pathway, archive rule, and prohibited interpretations.