What does it actually look like to work with a personal AI agent day-to-day? Real workflows combining MCP servers, OpenClaw skills, and 4 weeks of production usage patterns. The good, the unexpected, and the genuinely useful.
How do you build an AI agent with genuine agency that remains safe? Defense-in-depth with network isolation, identity-driven boundaries, permission documentation, and audit trails. Production lessons from 4 weeks of real usage.
Why I moved my AI agent stack from Kubernetes to a bare metal laptop, what broke along the way, and the 98% success rate that followed. A technical journey through OpenClaw, Ollama, and production AI infrastructure.