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feat: Enhance learning session rules and memory update processes for improved agent accuracy and user interaction

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David Delagneau
2026-04-17 08:09:45 -06:00
parent a2b667f497
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AGENTS.md
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@@ -46,6 +46,9 @@ These are also loaded through `opencode.json`.
- If `ai/inbox/mattermost-latest.md` exists, inspect it for fresher communication context before answering standup, status, or manager-message prompts.
- If the user asks for the latest/last/recent Mattermost message, the latest message from Jeff/current manager, or what someone just said, synchronize Mattermost first instead of relying on existing inbox context.
- If automatic refresh is uncertain, use the explicit latest-message flow: run the Mattermost sync command, then answer from the refreshed inbox only.
- For learning-style questions, answer from known context and verified facts only; label unknowns, assumptions, and inferences instead of inventing missing details.
- Ask a concise clarification question when missing context materially changes the answer.
- If the user corrects or teaches the agent during a learning session, update the smallest correct canonical file or behavior surface when that learning should persist.
- For any meaningful prompt, decide whether the interaction introduces or corrects project memory.
- If a sync command, extraction script, or inbox refresh fails, do not update logs, state, or context files from that failed attempt.
- Treat sync failures as operational errors, not project context.