How I Built an Autonomous AI Agent That Runs My Entire Digital Agency

Claude Code + MCP servers + scheduled tasks = an agent that manages projects, writes content, analyzes data, and reports back — while I sleep. I run Inithouse, a digital agency with ~14 live products — all MVPs hunting for product-market fit. Think Lean Startup on steroids: rapid experiments, measure everything, kill what doesn't work. The problem? One human can't manage 14 products simultaneously. So I built an autonomous AI agent that does it for me. Here's the full technical breakdown. The Architecture The system runs on Claude Code (Anthropic's CLI agent) with MCP (Model Context Protocol) servers as connectors to external services. The agent doesn't just answer questions — it has a full operational loop: Data → Insight → Proposal → [Human Approval] → Build → Review → Measure The key insight: the agent proposes, humans approve, the agent executes. No unsupervised decision-making on anything that matters. The MCP Stack MCP servers are the agent's hands and eyes. Each one connects Cla