## Mid-Day Update: Config Fixes & Quant Board Execution
- **System Config:** Successfully guided Mark through troubleshooting `openclaw.json` to fix UI model selection errors (404s). We added proper aliases for `kimi-k2.5` and `llama3:latest` in `agents.defaults.models` and corrected the provider-level IDs so the UI dropdown routes correctly to Moonshot and the local Ollama server.
- **Subagent Orchestration ("The Board"):** Executed a successful multi-agent quant review on a 50/200 EMA + RSI < 40 strategy. Spawned Gemini 2.5 Pro, Kimi K2.5, and Llama 3. The AI consensus highlighted the severe whipsaw vulnerability in choppy markets due to the lack of a regime filter (e.g., ADX). Synthesized the findings and sent the final consolidated report to Mark via WhatsApp.
- **API Health:** Reviewed Google AI Studio usage graphs. Confirmed that the massive ~10M token spike and 429 rate-limit errors occurred yesterday (Mar 19) during the heavy Quant video ingestion phase. Today's traffic is clean and stable.
- **User Alignment:** Mark explicitly reinforced his "slow and methodical" rule. When I offered to run automated tests on the remaining fallback models, he hit the brakes, preferring to manually test the Ollama connection step-by-step.