Raza Rizwan

Here's what I've learned building autonomous agents for the past few months: If you don't have clear steady-state goals, daily agent work is not productive. Let me explain. A "steady state" means your system runs without you. You check in, not check on. The agent does its job, you review the output. The mistake most people make is using AI agents like a chat window. Open it up, give it tasks, close it, repeat tomorrow. That's not a system. That's a to-do list with extra steps. The real process: - Pick one system to build around - Drill it until it works autonomously Move to the next one Never touch the first one again unless reviewing output I have 10 systems on my list right now. Every social account, every content pipeline, every distribution channel. Each one gets drilled to steady state before I move on. The goal: before I leave on vacation, everything runs on a Mac Mini. I only check in. My real work happens in Claude Code building the next thing. That's the difference between using AI and building with AI.