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learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_flowmonk.md

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Adoption: learning_ai_flowmonk

Status: Phase 2 baseline implemented, Phase 5 runtime baseline implemented Owner: learning_ai_flowmonk Ecosystem focus: plan -> routine -> habit golden flow and scheduled runtime projection

Goals

  • emit canonical plan artifacts from planning-export data
  • emit canonical artifact.created events for plans
  • provide enough lineage for ChronoMind and EffoRise consumers
  • expose FlowMonk planning/runtime state through the shared runtime contract

Checklist

  • map planning export output into the shared plan artifact schema
  • emit artifact.created for the plan artifact
  • include correlation/session IDs for downstream linking
  • persist latest plan indexes for downstream consumers
  • expose direct runtime sessions, tasks, todos, runs, approvals, and actions
  • persist native runtime todos, approvals, and checkpoints
  • expose product-facing checkpoint summaries for planning-session resume
  • document the rule for when a scheduled entry becomes a new run under an existing session
  • add runtime approvals and todos direct user-managed editing surfaces
  • add a dedicated runtime review UI for approvals, todos, and checkpoints

Commits:

  • 59ab8b1 implemented the Phase 2 producer path
  • 1ccafa7 implemented direct runtime sessions, tasks, runs, actions, and dispatch validation
  • faf93ec implemented direct runtime approvals and todos
  • 86470b2 persisted native runtime todo, approval, and checkpoint records
  • 6b1e52c added direct user-managed runtime todo and approval editing surfaces
  • da2db8e added the FlowMonk runtime review web UI