Review intake source candidates
New signals from logs, meetings, and exports.
Open source candidatesRequirements Command Center
Review readiness, missing fields, AI_SYSTEM status, and next staff actions.
Planning backlog · CODA · Showing 0 requirements
Who is this requirement for? Use Company / Project below to focus the workspace.
Showing CODA company/project and needs-refinement queue by default for faster loading. Choose All companies/projects or the All requirements tab to widen scope.
Tab counts are overlapping filters, not exclusive buckets. A planning-ready requirement can still be AI_SYSTEM blocked while the spec is draft or fields are missing.
These requirements need staff refinement before AI_SYSTEM artifacts should be generated. Use the Refinement Assistant to propose missing fields, improve weak sections, and recheck readiness.
Recommended action: Generate staff-reviewed refinement proposals before Lane B artifact generation.
Search by ID, title, assignee, creator, company, app, program, phase, status, category, review state, or intake source.
| Requirement | Company / Project | App | Suggested app | Confidence | Branch | Stage / spec | AI_SYSTEM readiness | Missing / needs | Next staff action | Latest artifact | Open |
|---|---|---|---|---|---|---|---|---|---|---|---|
No requirements in content needs refinementNo requirements match the content needs refinement queue in this workspace scope. Try: |
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Review intake sources, candidate requirements, and source patterns before implementation planning.
New signals from logs, meetings, and exports.
Open source candidatesCross-source patterns and correlation views.
View insightsReturn to the main requirements entry page.
Back to hubThese read-only diagnostics are for technical staff. They are not required for normal requirement review.
Source correlation (read-only CLI):
manage.py ai_system_source_correlation
— docs/apps/ai_services/42_AI_SYSTEM_CROSS_SOURCE_CORRELATION_RUNBOOK.md
· Production pilot checklist:
docs/apps/ai_services/43_AI_SYSTEM_REQUIREMENT_INTELLIGENCE_PRODUCTION_PILOT_RUNBOOK.md
Implementation audit (read-only CLI):
manage.py ai_system_requirement_implementation_audit
— docs/apps/ai_services/37_AI_SYSTEM_REQUIREMENT_IMPLEMENTATION_AUDIT_RUNBOOK.md