docs(ecosystem): track phase3 audited artifact flow
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@ -209,6 +209,7 @@ Commits:
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- `41fa2cd` drafted the event taxonomy
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- `76f1b47` added canonical Phase 1 event schemas and example payloads
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- `78918fb` extended canonical artifact payloads so Phase 2 can reuse `artifact.created` and `artifact.linked` for `plan`, `routine`, and `habit`
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- `e6b58b7` extended canonical artifact payloads so Phase 3 can reuse `artifact.created` for `trail-report` and preserve the audited note -> memory seam without introducing a second event family
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---
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@ -145,7 +145,7 @@ Example:
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- ChronoMind imports the latest plan into a routine artifact and preserves plan-created causation
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- EffoRise imports the latest routine into a habit artifact and preserves routine-linked causation
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- Codex completed a manual runtime walkthrough on `2026-04-03` using `/tmp/bytelyst-phase2-walkthrough.WpEjZu`, which produced the causal chain `evt_plan_created_b202f23f69a4 -> evt_routine_created_4c07d3fdcd07 -> evt_routine_linked_08b9db8a7013 -> evt_habit_created_f532f13332d1 -> evt_habit_linked_7be9a47928e3`
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- [ ] Cowork -> ActionTrail -> NoteLett -> MindLyst audited artifact flow
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- [x] Cowork -> ActionTrail -> NoteLett -> MindLyst audited artifact flow
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Repos:
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- `oss/learning_ai_claw-cowork`
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- `learning_ai_trails`
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@ -153,7 +153,16 @@ Example:
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- `learning_multimodal_memory_agents`
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- `learning_ai_common_plat`
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Commits:
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- pending
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- `e6b58b7`
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- `e294cf5`
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- `7678c9b`
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- `43819f1`
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Status note:
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- shared contract now supports a canonical `trail-report` payload while reusing generic `artifact.created`, `artifact.linked`, and `memory.entry.created`
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- ActionTrail imports Cowork audit-export JSON into a persisted `trail-report` artifact plus latest created-event index
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- NoteLett imports the latest `trail-report` into a markdown audit note and preserves upstream trail-report causation
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- MindLyst imports the latest audit note into an `insight` memory proposal and preserves upstream note-link lineage
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- Codex completed a manual runtime walkthrough on `2026-04-03` using `/tmp/bytelyst-phase3-walkthrough.myuu1z`, which produced the causal chain `evt_trail_created_b40197d5302e -> evt_note_created_abc1ad821974 -> evt_note_linked_9fd9a2b03363 -> evt_memory_8103b59fb40c`
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---
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@ -189,3 +198,4 @@ Execution status:
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- Windsurf verified the `learning_ai_notes` Phase 1 backend path with `cd backend && npx vitest run`; 22 files passed and 106 tests passed, including the focused ecosystem-phase1 coverage
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- shared contract now also supports the Phase 2 `plan -> routine -> habit` seam through `artifact.created` and `artifact.linked`
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- Phase 2 walkthrough is complete and tracked in [`PHASE2_PLAN_ROUTINE_HABIT_EXECUTION_PLAN.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/PHASE2_PLAN_ROUTINE_HABIT_EXECUTION_PLAN.md)
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- Phase 3 walkthrough is complete and tracked in [`PHASE3_COWORK_ACTIONTRAIL_NOTE_MEMORY_EXECUTION_PLAN.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/PHASE3_COWORK_ACTIONTRAIL_NOTE_MEMORY_EXECUTION_PLAN.md)
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@ -1,6 +1,6 @@
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# Ecosystem Shared Artifact Schema
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> **Status:** Phase 2 baseline implemented
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> **Status:** Phase 3 baseline implemented
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> **Owner:** `learning_ai_common_plat`
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> **Purpose:** Define the canonical cross-product artifact model so notes, transcripts, plans, memories, trails, routes, and agent outputs can interoperate cleanly.
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@ -190,7 +190,7 @@ Phase 2 adopters:
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- [ ] define migration strategy for first adopters
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- [x] add examples for LysnrAI, NoteLett, and MindLyst
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- [x] add contract-backed examples for FlowMonk, ChronoMind, and EffoRise
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- [ ] add examples for Cowork and ActionTrail
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- [x] add examples for Cowork and ActionTrail
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Current implementation location:
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@ -202,3 +202,4 @@ Commits:
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- `eae3409` drafted the initial stub
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- `76f1b47` added Phase 1 artifact schemas and canonical fixtures
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- `78918fb` added Phase 2 artifact schemas for `plan`, `routine`, and `habit`
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- `e6b58b7` added Phase 3 `trail-report` schema coverage and examples for Cowork/ActionTrail
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@ -0,0 +1,128 @@
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# Phase 3 Execution Plan
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> **Flow:** `Cowork -> ActionTrail -> NoteLett -> MindLyst`
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> **Status:** Implemented baseline
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> **Owner:** `Codex`
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> **Purpose:** Standardize the audited artifact flow where Cowork audit exports become ActionTrail trail reports, then readable NoteLett notes, then MindLyst insight memories.
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---
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## 1. Scope
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Phase 3 proves that a Cowork execution can create durable downstream value without requiring a live Rust/Tauri integration in the same implementation window.
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Baseline seam:
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1. Cowork exports structured audit JSON.
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2. ActionTrail imports that export into a canonical `trail-report` artifact.
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3. NoteLett imports the latest `trail-report` into a readable markdown note.
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4. MindLyst imports the latest audit note into an `insight` memory proposal.
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This phase intentionally treats Cowork's existing audit export as the producer contract. It does not require new desktop runtime plumbing.
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---
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## 2. Repos In Scope
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- `oss/learning_ai_claw-cowork`
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- `learning_ai_trails`
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- `learning_ai_notes`
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- `learning_multimodal_memory_agents`
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- `learning_ai_common_plat`
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---
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## 3. Implementation Decisions
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- Reuse generic ecosystem events:
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- `artifact.created`
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- `artifact.linked`
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- `memory.entry.created`
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- Add a canonical `trail-report` payload to the shared artifact schema.
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- Keep ActionTrail's Phase 3 seam as a pure module so it can be tested without booting the backend.
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- Reuse the existing NoteLett and MindLyst import pattern from Phase 1.
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- Preserve causal lineage across all persisted latest-event indexes.
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---
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## 4. Code Surfaces
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### `learning_ai_common_plat`
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- `packages/events/src/ecosystem.ts`
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- `packages/events/src/ecosystem.test.ts`
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### `learning_ai_trails`
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- `backend/src/lib/ecosystem-phase3.ts`
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- `backend/src/lib/ecosystem-phase3.test.ts`
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### `learning_ai_notes`
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- `backend/src/lib/ecosystem-phase3.ts`
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- `backend/src/lib/ecosystem-phase3.test.ts`
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### `learning_multimodal_memory_agents`
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- `mindlyst-native/web/src/lib/ecosystem-phase3.ts`
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- `mindlyst-native/web/src/lib/ecosystem-phase3.test.ts`
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---
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## 5. Verification Commands
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- `cd learning_ai_common_plat/packages/events && pnpm exec vitest run src/ecosystem.test.ts`
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- `cd learning_ai_trails && node --experimental-strip-types --test backend/src/lib/ecosystem-phase3.test.ts`
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- `cd learning_ai_notes && node --experimental-strip-types --test backend/src/lib/ecosystem-phase3.test.ts`
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- `cd learning_multimodal_memory_agents/mindlyst-native/web && node --experimental-strip-types --test src/lib/ecosystem-phase3.test.ts`
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---
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## 6. Manual Walkthrough Evidence
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Walkthrough root:
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- `/tmp/bytelyst-phase3-walkthrough.myuu1z`
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Observed causal chain:
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- `evt_trail_created_b40197d5302e`
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- `evt_note_created_abc1ad821974`
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- `evt_note_linked_9fd9a2b03363`
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- `evt_memory_8103b59fb40c`
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Observed artifact chain:
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- `art_trail_5af2de023e77`
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- `art_note_2146a3d0cd11`
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- `art_memory_11f691d1b201`
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Observed semantics:
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- Cowork audit export produced `4` audited actions and `2` safety signals.
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- ActionTrail created a `trail-report` artifact with shared correlation ID `corr_e735382a77d6`.
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- NoteLett created a markdown audit note linked back to the `trail-report`.
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- MindLyst created an `insight` memory with source artifact IDs for both the note and the trail report.
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---
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## 7. Done Criteria
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- [x] shared contract accepts `trail-report` artifacts
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- [x] ActionTrail can persist a canonical `trail-report` artifact and latest created-event index
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- [x] NoteLett can persist a canonical note artifact derived from the latest `trail-report`
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- [x] MindLyst can persist a canonical `insight` memory derived from the latest audit note
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- [x] all focused module tests pass
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- [x] one manual walkthrough proves the end-to-end causal chain
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- [ ] repo-local runtime route wiring exists for all three products
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The remaining unchecked item is explicitly deferred. Phase 3 baseline is still considered complete because the artifact seam is implemented and verified.
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---
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## 8. Commits
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- `e6b58b7` shared Phase 3 contract support for `trail-report`
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- `e294cf5` ActionTrail `trail-report` producer seam
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- `7678c9b` NoteLett audited note import seam
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- `43819f1` MindLyst audited memory import seam
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@ -27,6 +27,7 @@ Recommended structure:
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- [`ECOSYSTEM_PERSONAL_TIMELINE_PRD.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_PERSONAL_TIMELINE_PRD.md) — unified user activity stream
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- [`PHASE1_TRANSCRIPT_NOTE_MEMORY_EXECUTION_PLAN.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/PHASE1_TRANSCRIPT_NOTE_MEMORY_EXECUTION_PLAN.md) — execution-ready plan for the first golden flow
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- [`PHASE2_PLAN_ROUTINE_HABIT_EXECUTION_PLAN.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/PHASE2_PLAN_ROUTINE_HABIT_EXECUTION_PLAN.md) — execution-ready plan for the second golden flow
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- [`PHASE3_COWORK_ACTIONTRAIL_NOTE_MEMORY_EXECUTION_PLAN.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/PHASE3_COWORK_ACTIONTRAIL_NOTE_MEMORY_EXECUTION_PLAN.md) — execution-ready plan for the audited artifact flow
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- [`delegation/`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/delegation) — ready-to-send task packs and launcher lines for Saravana, Codex, Windsurf, and Cursor
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- [`adoption/`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption) — per-product adoption notes
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@ -49,4 +50,4 @@ Tracking convention:
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Current implementation package:
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- [`packages/events`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/packages/events) holds the first concrete ecosystem contract code and now covers both the Phase 1 and Phase 2 artifact/event seams.
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- [`packages/events`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/packages/events) holds the first concrete ecosystem contract code and now covers the Phase 1, Phase 2, and Phase 3 artifact/event seams.
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@ -10,7 +10,7 @@ Recommended file pattern:
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- `learning_ai_notes.md`
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- `learning_ai_flowmonk.md`
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- `learning_ai_trails.md`
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- `oss_learning_ai_claw_cowork.md`
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- `learning_ai_claw-cowork.md`
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Current docs:
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- [`learning_ai_flowmonk.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_flowmonk.md)
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- [`learning_ai_clock.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_clock.md)
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- [`learning_ai_efforise.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_efforise.md)
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- [`learning_ai_trails.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_trails.md)
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- [`learning_ai_claw-cowork.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_claw-cowork.md)
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Each adoption doc should cover:
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47
docs/ecosystem/adoption/learning_ai_claw-cowork.md
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47
docs/ecosystem/adoption/learning_ai_claw-cowork.md
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# Claw Cowork Ecosystem Adoption
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> **Repo:** `oss/learning_ai_claw-cowork`
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> **Ecosystem focus:** audited artifact producer for Phase 3
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> **Status:** existing producer surface reused
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---
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## 1. Role In The Ecosystem
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Claw Cowork is the audit-producing source system for Phase 3.
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It already provides:
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- structured append-only audit logs
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- filtered audit queries
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- JSON export
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- CSV export
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- desktop audit inspection UI
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Those existing surfaces make Cowork the right producer for the audited artifact flow without adding risky new desktop plumbing.
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---
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## 2. Current Adoption
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Phase 3 baseline reuses the existing desktop export surface:
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- `query_audit_log`
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- `export_audit_json`
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- `export_audit_csv`
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ActionTrail now treats the exported JSON audit shape as the canonical import input for `trail-report` creation.
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---
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## 3. Remaining Follow-Up
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- add an explicit product-local helper for exporting ecosystem-ready audit payloads
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- optionally emit canonical runtime events alongside the current local audit logs
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- add signed dispatch or upload flow from Cowork desktop into ActionTrail when runtime integration is prioritized
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---
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## 4. Commits
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- existing producer surface predates Phase 3 baseline
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docs/ecosystem/adoption/learning_ai_trails.md
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# ActionTrail Ecosystem Adoption
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> **Repo:** `learning_ai_trails`
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> **Ecosystem focus:** Cowork audit -> trail-report artifact golden flow
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> **Status:** Phase 3 baseline implemented
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---
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## 1. Role In The Ecosystem
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ActionTrail is the canonical audit-normalization layer for Phase 3.
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It should:
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- accept structured Cowork audit exports
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- convert them into durable ecosystem `trail-report` artifacts
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- preserve causation and correlation for downstream consumers
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- make the audit flow readable without requiring Cowork runtime knowledge in every consumer
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---
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## 2. Current Adoption
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- `backend/src/lib/ecosystem-phase3.ts` creates and persists a canonical `trail-report`
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- latest indexes now include:
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- `latest-trail-report.json`
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- `latest-trail-report-created-event.json`
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- the Phase 3 payload captures:
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- action counts
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- tool call counts
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- approval counts
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- failure counts
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- safety signal counts
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- task list
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- action breakdown
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- normalized entry list
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---
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## 3. Remaining Follow-Up
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- add optional route/service wiring for importing Cowork exports through the live backend
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- map ActionTrail-native actions and approvals into the same artifact view
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- connect `audit.action.logged` taxonomy work when runtime event forwarding is added
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---
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## 4. Commits
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- `e294cf5`
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