Where Do You Fall on the Eight Levels of AI Adoption?

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All it takes is one viral post to make you feel like you’re using AI all wrong. Someone’s running 12 Claude Code sessions in parallel. Someone else’s agent answers emails while they sleep. Meanwhile, you’re still arguing with ChatGPT.

Here’s the thing: Keeping up with the power users isn’t the point. The best way to get value from AI is to use it in a way that fits your work—and to check in now and then to see whether you could be getting more from it.

With that in mind, today we published a guide that maps all eight levels of AI adoption, from chatbot basics to full agent orchestration. We explain how each level works in practice, with sample prompts, so you can figure out which ones match your current needs and workflows, what’s possible at each stage, and when it’s time to move to the next one.

• Level 1—Chatbot: You ask, it answers.
• Level 2—Copilot: The AI works alongside you, inside your files.
• Level 3—Agent: It executes a task step by step, checking in for approval.
• Level 4—Autopilot: It runs on its own; you review the result.
• Level 5—Workflows: You build a system that makes its output more reliable.
• Level 6—Assistant: It works in the background, without being prompted.
• Level 7—Multi-agent: You manage several long-running agents at once.
• Level 8—Orchestrator: A manager agent runs a team of sub-agents for you.

A higher level isn’t necessarily better. The right level for a task is generally determined by how much you trust the AI to do a good job without intervention, and how big a deal it’ll be if it does mess up.

If you want to know where you fall on the AI adoption spectrum—and whether it’s time to experiment with higher levels—this guide is for you.

Mike Taylor is the head of tech consulting at Every and a co-author of Prompt Engineering for Generative AI (O’Reilly).

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