Steve Yegge's AI adoption Chart

You could argue that this chat helps you decide if your company is AI-native.

Original Levels

These steps are from Annotated version of 'Welcome to Gas Town'

Level 1: Zero or Near-Zero AI: maybe code completions, sometimes ask Chat questions

Level 2: Coding agent in IDE, permissions turned on. A narrow coding agent in a sidebar asks your permission to run tools.

Level 3: Agent in IDE, YOLO mode: Trust goes up. You turn off permissions, agent gets wider.

Level 4: In IDE, wide agent: Your agent gradually grows to fill the screen. Code is just for diffs.

Level 5:CLI, single agent. YOLO Diffs scroll by. You may or may not look at them.==

Level 6: CLI, multi-agent, YOLO. You regularly use 3 to 5 parallel instances. You are very fast.

Level 7: *10+ agents, hand-managed You are starting to push the limits of hand-management

Level 8: Building your own orchestrator You are on the frontier, automating your workflow.

Additional Levels

These steps are from blog post - welcome to Gas City - 2026-04

Level 9: A deployed Gas City pack is an AI-native business process automation. Once your pack is running, Gas City’s supervisor agent system will keep it going, even on remote machines.

Level 10: of the AI Adoption is where you’ve deployed a bunch of agent packs, each with its own little world it’s managing. They have identities, consoles, you can check in on any of them, tweak their standing orders, you name it. They’re starting to be a handful. But you don’t need to build an orchestrator for them, since Gas City is the orchestrator.

Level 11: Factory Builder. You’re building a full custom orchestrator, a full dark factory, and you’re operating at the level of architect, curator, and shepherd. You build yet another crew, with a declarative Gas City pack, and its job is to manage a subset of your deployed packs.