Alex Session Wrap-Up

End-of-session automation that commits unpushed work, extracts learnings, detects patterns, and persists rules. Uses gpt-4o-mini for pattern detection. Runs at session end or on-demand.

Session Wrap-Up

When to Run

• On-demand: User says "wrap up" or "session wrap-up"
• Automatic: End of significant work session (optional)

What It Does (4 Phases)

Phase 1: Ship It

• Check for unstaged/uncommitted files in workspace
• Commit with auto-generated message
• Push to remote

Phase 2: Extract Learnings

• Scan session conversation for key decisions
• Pull from recent memory file entries
• Identify what worked / what didn't

Phase 3: Pattern Detect (gpt-4o-mini)

• Analyze extracted learnings
• Find repeated mistakes or requests
• Identify automation opportunities

Phase 4: Persist & Evolve

• Write learnings to memory/YYYY-MM-DD.md
• Update AGENTS.md / MEMORY.md if new patterns found
• Flag items worth publishing/sharing

Model

• Pattern detection: gpt-4o-mini (via OpenRouter or OpenAI)
• All other phases: local shell/file operations

Output

• Commit confirmation
• Learnings summary (1-3 bullets)
• Patterns detected (if any)
• Files updated (if any)

Example Output

=== Session Wrap-Up ===

📦 Ship It:
  ✓ 3 files committed
  ✓ Pushed to origin

📝 Extract Learnings:
  - Backup script now handles D: mount checks
  - gog OAuth requires re-auth every ~7 days in Testing mode

🔍 Pattern Detect:
  • You asked "how to mount D:" twice this week
    → Suggest adding D: auto-mount to WSL config

💾 Persist:
  → Updated memory/2026-02-21.md
  → Updated AGENTS.md (added D: mount note)