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This blog is a map of personal AI infrastructure: practical work across AI agents, self-hosting, cloud platforms, and engineering operations.
01 · AI Agent
Coding agents, OpenClaw, Claude Code, Hermes, MCP, and shared memory — with a focus on workflows that survive real usage.
- Connect Proxmox VE to an AI Agent
- Shared memory for OpenClaw, Codex, Claude, and Gemini
- UI UX Pro Max for better agent-built interfaces
02 · Self-hosting
Docker, NAS, Proxmox VE, homelab networking, and storage — the foundation for systems that remain useful after the demo.
- Portainer: a cockpit for Docker operations
- Proxmox VE maintenance and repository setup
- A practical guide to Synology CLI administration
03 · Engineering
The useful question is not only how to fix a system, but why it failed and how to prove the fix. Expect incident reviews, automation, databases, performance, and observability.
- MySQL, Prometheus, Loki, and Grafana for AI agents
- Why a Docker container entered a restart loop
- Why background processes disappear after Shell exits
04 · AI Infrastructure
This is the long-term theme: model gateways, token management, deployment, monitoring, permissions, and cost control for maintainable AI systems.