
I Built an AI Agent That Runs My Infrastructure
I spent the last week building an AI agent that monitors my infrastructure, manages accounts, updates dashboards, and posts content — all autonomously. Not a toy demo. A real system running 24/7 on my MacBook. Here is what actually works, what does not, and what surprised me. The Stack OpenClaw — open-source AI agent framework (browser, terminal, files, messaging) Claude — the brain (Opus for complex tasks, Sonnet for routine) FastAPI + Python — proxy layer for LLM API with failover Node.js — dashboard with Kanban board and live activity feed launchd — macOS cron for scheduled checks What the Agent Actually Does 1. Infrastructure Monitoring Every 30 minutes, the agent checks: API proxy health and account rotation Credit balance across multiple accounts Service uptime If something is wrong, it fixes it or alerts me via Telegram. 2. Dashboard Management A Kanban board with real-time SSE updates. The agent: Creates tasks from our conversations Moves them through columns as work progresses
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