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AI Factory Workflow — AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics

AI Factory Workflow — AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics

Created: 2026-05-26T21:01:20.217Z
Priority: H
Domain: product
MC route: product
Recommended company: AgentForge + Skybound
Factory mode: internal MVP, no production mutation by default

Goal

AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics

Routing

  • Selected MC route: product
  • Recommended company: AgentForge + Skybound
  • Routing evidence: captured in the JSON evidence package.

P2P Pair Programming Policy

  • Required: no
  • Reason: not in controlled risky rollout scope
  • Mode: block

If P2P is required, the builder must use bounded Company Mesh peer verification before MC ready/done. The safe default remains prewire + prompt injection + MC gate, not automatic verifier send at dispatch time.

Execution Plan

  1. AI Factory plan/spec refinement (product, M) — Refine scope, acceptance criteria, risks, and non-goals for: AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics. No implementation.
  2. AI Factory build/implementation slice (product, H) — Implement the approved first slice for: AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics. No production mutation by default.
  3. AI Factory independent verification (qa, H) — Independently verify evidence, commands, and acceptance criteria for: AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics. Do not rely on builder summaries.
  4. AI Factory docs and BookStack update (general, M) — Update BookStack/status docs and record evidence/lessons for: AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics.
  5. AI Factory postflight and memory writeback (post-build, M) — Postflight: summarize outcome, cost, evidence paths, blockers, and queue memory/LightRAG writeback for: AI Factory V3 internal productization: operator console for intake, workflow status, evidence packages, and P2P quality metrics.

Guardrails

  • No production deploy or mutation unless a later task explicitly approves it.
  • Evidence paths must exist before ready/done claims.
  • Memory/LightRAG is advisory, not evidence.
  • Final QA remains mandatory for user-facing/deploy-impacting work.

Expected Evidence

  • MC parent task id.
  • Linked subtasks.
  • Process tracker id.
  • BookStack URL.
  • JSON evidence file under /tmp/alai/ai-factory/.
  • P2P mesh thread id where required.

Standard Templates

Use these local templates for request/status/evidence/postflight pages:

  • Request: /Users/makinja/system/specs/ai-factory/templates/request-template.md
  • Workflow status: /Users/makinja/system/specs/ai-factory/templates/workflow-status-template.md
  • Evidence package: /Users/makinja/system/specs/ai-factory/templates/evidence-package-template.md
  • Postflight/lessons: /Users/makinja/system/specs/ai-factory/templates/postflight-lessons-template.md

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