- 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>
19 lines
446 B
Plaintext
19 lines
446 B
Plaintext
{{CoachRules}}
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Task:
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Generate an EVENING REVIEW for date {{dateLocal}}.
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Context (JSON):
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{{contextJson}}
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Preferences (JSON):
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{{preferencesJson}}
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Output:
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Return a CoachPlanDto JSON with kind="evening_review".
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Include:
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- Brief recap of today
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- 2-4 observations with evidence
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- 1-{{maxQuestions}} reflection questions
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- 1-{{maxNextActions}} next actions for tomorrow
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- patchProposal that creates: (optional) tomorrow-intent fragment AND/OR todos. |