feat: initial 24 principles extracted from real multi-project AI dev work

Grouped into 7 themes: Architecture & Design, Cost & Efficiency,
Execution & Error Handling, Autonomy & Agents, Documentation,
Capture & Learning, Content Production.

Each principle grounded in observed patterns, not theory.

docs/status.md

@@ -0,0 +1,22 @@
+# Status Log
+
+## 2026-03-31 — Project Created
+
+### Completed
+- Extracted 24 principles from workspace configs, memory files, CLAUDE.md files, and observed patterns
+- Grouped into 7 themes: Architecture, Cost, Execution, Autonomy, Documentation, Capture, Content
+- Each principle grounded in real usage, not theory
+
+### Sources Mined
+- Global CLAUDE.md (user instructions)
+- Workspace CLAUDE.md (autonomous agent rules)
+- 12 memory files (feedback, projects, user context)
+- Project-specific CLAUDE.md files (claudine, affordance, 3sets)
+- control-center.md, agent-handbook.md
+- Colette virtual publisher plans
+
+### What's Next
+- Add concrete examples for key principles (docs/examples/)
+- Cross-reference with industry patterns (12-factor app, etc.)
+- Consider blog post or talk format
+- Keep extracting from ongoing sessions