journal/Journal.AI/Daily-Check-In.txt
Jacob Schmidt 192e6e3891 feat: add AI coaching, conversation persistence, and LLamaSharp integration
- Add Journal.AI project with LLamaSharp-based AI service (Phi-3 model)
- Implement coach sessions (daily check-in, evening review, weekly review)
- Add conversation CRUD with SQLCipher persistence
- AI chat with full conversation history for context-aware replies
- Frontend: CoachPanel, AI stores, conversation stores, side panel UI
- Conversation list with create, rename, and delete support
- Fix Phi-3 output quality (system prompt leaking, token cleanup, JSON filtering)
- Fix CREATEDRAFT kind override in coach sessions

Co-Authored-By: Oz <oz-agent@warp.dev>
2026-03-01 16:07:59 -06:00

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{{CoachRules}}
Task:
Generate a DAILY CHECK-IN plan for date {{dateLocal}}.
Context (JSON):
{{contextJson}}
Preferences (JSON):
{{preferencesJson}}
Output:
Return a CoachPlanDto JSON with kind="daily_checkin".
Include:
- A short title
- A 2-4 sentence summary
- 1-{{maxQuestions}} questions
- 1-{{maxNextActions}} suggestedNextActions
- suggestedTags if relevant
- patchProposal that creates a fragment or dailyEntry draft ONLY if it is clearly helpful.