Add member work history and learning docs

2026-06-28 08:05:59 +00:00
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+# Continual Learning
+
+Status: demo-backed / active
+
+PodMan's continual-learning track owns team memory: what the system learns about
+files, collisions, interventions, outcomes, and future routing for a pod.
+
+## Files
+
+| File | Purpose |
+| --- | --- |
+| [`spec.md`](spec.md) | Data model and observe/store/predict/outcome/adapt loop |
+| [`policy.md`](policy.md) | What PodMan may and may not remember |
+| [`prompt.md`](prompt.md) | Memory-agent prompt for outcome-backed learning |
+| [`plan.md`](plan.md) | Demo build order and acceptance criteria |
+
+## What Is Implemented Now
+
+- MongoDB-backed `observations`, `collisions`, `interventions`, `outcomes`,
+  `engineer_states`, and `team_model` records.
+- Exact signature recall for prior accepted and dismissed outcomes.
+- Outcome writes through `POST /api/outcome`.
+- Team memory graph edges from accepted real outcomes.
+- No raw screenshots or recordings are stored.
+
+## What Is Intentionally Cut
+
+- Autonomous model training.
+- Broad cross-pod generalization.
+- Raw screen capture retention.
+- Vector recall as a dependency for the demo proof.
+
+## Demo Proof Path
+
+Observe screen/git state -> detect collision -> send intervention -> accept or
+dismiss outcome -> recall similar event -> show changed graph or changed
+behavior.