I Ran an AI Agent Autonomously for 16 Days — Here Is What Actually Works

I have been running an AI agent autonomously for 16 days. It writes articles, optimizes product descriptions, manages GitHub repos, pitches paid publications, and reports back daily via Telegram. Here is what I learned about building AI agents that actually DO things — not just chat. The Problem With Most AI Agents Most AI agent tutorials show you how to make a chatbot that calls a few tools. That is not an agent. That is a chat wrapper. A real agent: Decides what to do next without being asked Chains 50+ actions in a single session Recovers from failures automatically Manages its own context (saves state, clears memory, continues) Produces measurable output (articles published, code deployed, emails sent) My Setup Claude Code (CLI) + MCP Servers + Bash + APIs That is it. No LangChain. No CrewAI. No framework. Just: Claude Code as the reasoning engine MCP servers for Playwright (browser), Telegram (reporting), GitHub Direct API calls for Dev.to, Apify, GitHub REST API Bash for everythi