Requirements Command Center

Requirements Workspace

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.

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Company / Project

Refinement

All 131 Missing acceptance criteria 39 Weak codebase grounding 0 Missing What / Why / How 0 Design link, missing text 0

AI gate

AI_SYSTEM blocked 77 Content needs refinement 0

Ready

Ready for AI_SYSTEM 18 Ready with warnings 36 Good candidates 54

Artifacts

Prompt packs 30 Needs QA / reconciliation 27

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.

Current queue

Weak codebase grounding

These requirements need clearer app, docs, paths, or test guidance before implementation prompts can be trusted.

Recommended action: Add app/module hints, docs paths, and test guidance on the detail page.

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Search by ID, title, assignee, creator, company, app, program, phase, status, category, review state, or intake source.

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Requirement intelligence & diagnostics

Requirement Intelligence

Review intake sources, candidate requirements, and source patterns before implementation planning.

Developer/admin diagnostics

These 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