A podcast conversation between two experienced DevOps practitioners discussing their current AI agent setups, tooling preferences, and security practices. Key topics include OpenClaw as an LLM orchestrator, the emerging NanoClaw project (a leaner, Docker-native alternative), model selection strategies (Claude Opus vs GPT 5.4 vs Gemini), the use of 'skills' markdown files to improve agent behavior, and the critical importance of server hardening and least-privilege permissions when running self-hosted AI agents. Real-world anecdotes include an OpenClaw instance deleting its own server after a misinterpreted command, and an agent autonomously fixing Core Web Vitals issues on a WordPress site. The conversation also touches on enterprise AI governance, token cost management, and the evolving permission model needed for agentic systems.