docs(ecosystem): split remaining roadmap into hardening buckets
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@ -60,6 +60,64 @@ Build a shared ByteLyst ecosystem layer so products do not behave like isolated
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- the implementation roadmap baseline is materially complete through Phase 5
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- the remaining work is mostly documentation hardening and optional product expansion, not missing core baseline functionality
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### Remaining Work Buckets
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#### Must-Finish Hardening
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- [ ] expand adoption docs beyond the currently covered products and flows
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- add missing adoption coverage for additional ecosystem repos that are expected to consume shared contracts
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- [ ] harden the verification matrix with repo-level test ownership
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- define who owns runtime, artifact, timeline, and e2e verification in each participating repo
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- [ ] revise the temporary ownership model if the working team changes
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- current model assumes Saravana, Codex, Windsurf, and Cursor only
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- [ ] define broader shared artifact storage and lifecycle rules
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- current contract covers artifact shape, but not long-term retention, versioning, or archival rules
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- [ ] broaden the shared event taxonomy beyond the currently implemented phase seams
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- current event taxonomy is strong for Phases 1 to 5 but not yet ecosystem-complete
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- [ ] harden approvals and trust policy details
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- current approvals/trust model is still a draft and needs a more complete policy matrix
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- [ ] finish marketplace inventory and entitlement details
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- the marketplace unification doc exists, but product inventory and entitlement rules are still open
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- [ ] finish longer-term timeline hosting and filtering decisions
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Owner:
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- `learning_ai_common_plat`
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Notes:
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- the current hosted timeline baseline works, but longer-term production hosting and filtering policy still needs closure
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#### Optional Product Enhancements
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- [ ] evaluate richer FlowMonk replay execution controls
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Owner:
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- `learning_ai_flowmonk`
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Notes:
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- current runtime review and replay inspection are sufficient for the baseline; execution controls are optional product expansion
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- [ ] evaluate richer Cowork checkpoint drill-in
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Owner:
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- `oss/learning_ai_claw-cowork`
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Notes:
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- current checkpoint summaries and refs are sufficient for the baseline; richer drill-in is optional product expansion
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---
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## 2. Tracking Rules
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