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5.3 End-to-End Timeline

End-to-End Timeline

What the System Produces

Starting from 5 MC tasks, the full pipeline generates:

Stage Tasks Company Time
BUILD — scaffold 1 CodeCraft ~15 min
BUILD — DB schema 1 CodeCraft ~10 min
BUILD — landing page 1 Vizu ~8 min
BUILD — auth API 1 CodeCraft ~15 min
BUILD — meal UI 1 Vizu ~10 min
REVIEW (all 5) 5 Proveo ~5 min each
SECURITY (all 5) 5 Securion ~5 min each
BUILD — security fixes 2-3 CodeCraft ~10 min each
OPS — deploy setup 1 FlowForge ~10 min
DOCS — legal + API docs 2 Lexicon ~8 min each

Total: ~20-25 tasks auto-generated from 5 initial tasks.

Elapsed time: ~3-4 hours (tasks run sequentially on each host, some parallel on ANVIL+FORGE).

Human involvement: Zero (unless safety patterns trigger).

What Alem Sees

$ node mc.js list --tag bento

#4001  [H] [done] Bento: Project scaffold
#4002  [H] [done] Bento: Database schema design
#4003  [H] [done] Bento: Landing page design
#4004  [H] [done] Bento: API — auth + subscriptions
#4005  [H] [done] Bento: Frontend — meal selection + checkout
#4006  [M] [done] [BENTO-REVIEW] Code review: scaffold
#4007  [M] [done] [BENTO-SECURITY] Security audit: scaffold
#4008  [M] [done] [BENTO-REVIEW] Code review: DB schema
...
#4020  [M] [done] [BENTO-OPS] Deploy setup
#4021  [M] [done] [BENTO-DOCS] Privacy Policy + ToS
#4022  [M] [done] [BENTO-DOCS] API documentation

Key Insight

The 5 tasks Alem created cascaded into 20+ tasks that were:

  • Automatically created by the Pipeline Engine
  • Automatically classified by the Pi-Orchestrator
  • Automatically routed to the right virtual company
  • Automatically executed by AI agents
  • Automatically quality-checked by the QA gate
  • Automatically stored in HiveMind for future reference

This is the ALAI AI Factory in action.

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