I built a fully autonomous agent that manages 4 business projects simultaneously — here's the system

Eight months ago I was manually checking in on four different projects every morning. Slack updates, GitHub issues, email threads, client messages — all in different places, all demanding context-switching that cost more energy than the work itself. Now an AI agent does the morning check-in. It reads the email, scans the projects, updates the task files, and sends me a tight summary before I've finished my coffee. This isn't a demo. It's what I run in production, today. Here's the actual system. The Core Problem: Context Switching Kills Throughput Running multiple projects isn't just a time problem — it's a memory problem. Every time you switch from project A to project B, you have to rebuild context. What was the last decision? What's blocked? What did the other person say last week? I was doing that 15-20 times a day. By 2 PM I was exhausted from the overhead, not the actual work. The naive solution is better note-taking. The real solution is externalizing memory to something that ne