reflectlisted

# Reflect -- Self-Portrait with User Correction A meta-learning loop where the clone examines its own model of the user, generates predictions about how the user would act in specific situations, and invites corrections. Corrections feed back into the user model at high confidence (0.85). ## How It Works 1. **Load** -- Retrieve the full user model (decision patterns, values, preferences, facts) 2. **Synthesize** -- Generate a coherent self-portrait summarizing how you understand the user 3. **Predict** -- Make scenario-specific predictions ("I believe you'd handle X by doing Y because Z") 4. **Identify gaps** -- Surface areas of low confidence or missing coverage 5. **Invite correction** -- Present findings and ask the user to confirm, adjust, or reject ## Backend tool (use this, don't improvise) Call the **`reflect`** tool (`mcp__nomos-think__reflect`) first. It runs the real reflection backend over the user model and returns structured `synthesis`, `predictions`, and `blindSpots` with the documented confidence logic. Present and discuss THAT output rather than reconstructing the user's profile from scratch. `/reflect gaps` -> use `blindSpots`; `/reflect predictions` -> use `predictions`. ## Commands - `/reflect` -- Start a full reflection session - `/reflect predictions` -- Focus on scenario-specific predictions - `/reflect gaps` -- Show blind spots and areas of uncertainty ## Session Protocol When the user invokes `/reflect`, follow this exact protocol: ### Phase