What problem does it solve?
Convert fleeting corrections, preferences, decisions, and discovered patterns into concise, machine-readable training documents so future AI behavior and team processes consistently reflect learned lessons.
Core Features & Use Cases
- Real-time lesson capture: summarize a correction, preference, decision, or pattern immediately after it occurs.
- Structured templates: produce uniform training notes with metadata (date, type, department) that are easy to parse and compress into a knowledge base.
- Workflow integration: present drafts to the Director for confirmation before saving and enforce one lesson per file to keep the training corpus clean.
- Use case: after a Director corrects an email tone, capture the correction as a Preference note saved to training/ for later compression into KNOWLEDGE_BASE.md.
Quick Start
When the Director says "remember this" draft a Training Note summarizing the lesson, present it for confirmation, and then save it as training/YYYY-MM-DD-[slug].md.