Levels of automation for AI agents (0-4) - where do yours sit?

I've been building agents for a while and I keep seeing the word agent used for very different things, so I started thinking in levels, similar to self-driving levels. Here's the mental model I use: Level 0 - no AI. Scripts, cron, CI. Procedure is known, deterministic. If you can write the steps down beforehand, just code it. Level 1 - AI in the loop. Copilot, completions, classify / extract / summarize. You're driving, AI suggests. A lot of what gets called an agent is actually here - a very smart function, no autonomy. Level 2 - AI on your computer. Coding agents with terminal + filesystem. AI drives, you supervise with hand near ctrl-c. Great for real work, but doesn't scale to a product because every user needs supervision. Level 3 - AI with its own computer. Ephemeral VM per task, you talk to it via chat like a colleague. You delegate and walk away, it messages when done / stuck / needs a decision. Secrets injected at network layer, runtime disposable. Level 4 - multiple Level 3 agents coordinating, no human in the loop for routine operation. The jump that changed things for me was 2 to 3: treating the agent less like a process to monitor and more like a team member you message. Disclosure: I build agent infra, so biased here. Curious how others see it - where do your current agents sit? What breaks when you try to move from 2 to 3?