You gave it a shot. You typed something into Claude or ChatGPT, got back something that was technically correct but felt flat. Generic. The kind of output that could have come from anyone. You wondered what everyone was so excited about.
Here’s what I’ve figured out: that experience isn’t evidence that AI tools are overhyped. It’s diagnostic. It tells you exactly where you are in a progression, and that progression has six levels.
Level 1 Is Where Almost Everyone Starts (And Where Too Many People Stop)
At Level 1, you’re using the tool like a search engine with extra steps. You type a command. It responds. You type another command. It responds. It’s a one-way relationship. You’re directing, it’s executing. And here’s what happens when you run any AI system that way: it defaults to the mean. Average outputs, average aesthetics, average thinking. That’s why so many AI-generated websites have the same purple gradient and the same generic fonts. That’s where “AI slop” comes from. Not from the model being bad — from the interaction being shallow.
The good news: you don’t have to stay there.
The Six Levels of Claude Code Fluency
A practitioner named Chase put together the clearest framework I’ve seen for thinking about this progression. It’s framed around Claude Code specifically, but the underlying arc applies to any AI tool you’re learning seriously.
- Level 1, Prompt Engineer: Commands only. One-way. Generic outputs.
- Level 2, Planner: You start asking instead of just telling. Collaborative questions, back-and-forth, letting the AI push back on your ideas.
- Level 3, Context Engineer: You learn that what you feed the AI shapes what you get. Context management, examples, constraints. Less is often more.
- Level 4, Tool User: You extend the AI with external tools like web scraping, browser automation, and deployment pipelines. You also start understanding the building blocks of what you’re creating, not just the output.
- Level 5, Skill Author: You turn your best workflows into reusable, personalized skills. The tool starts working the way you work.
- Level 6, Orchestrator: Multiple AI instances working in parallel, handling different parts of a problem simultaneously. You’re the manager now.
Most people are at Level 1. A lot of people make it to Level 2 or 3 before plateauing. Levels 4 through 6 are where the real compounding happens.
This Is Exactly How Learning Any Craft Works
When you pick up a guitar for the first time, it sounds terrible. That’s not evidence the guitar is a bad instrument. It’s evidence that you’re at the beginning of a skill curve that takes time to climb. The gap between “making sound” and “playing music” is enormous. Crossing it requires understanding that there are levels, that they’re learnable, and that the early frustration is part of the process.
AI fluency is the same. The first stage, “I can make it say things,” is the equivalent of plucking a string. It works. It produces output. But it’s nowhere near what the instrument can do.
The frustrating thing about AI tools right now is that nobody hands you a roadmap. You’re expected to figure out the levels on your own, in a space that’s changing fast enough to make even experienced practitioners feel like they’re behind.
The Thing to Try Next
You don’t need to get to Level 6 to feel the difference. The jump from Level 1 to Level 2 is the biggest one, and it comes down to a single habit shift: stop commanding and start asking.
Instead of “build me a website,” ask: “What questions do you have before we start?” Instead of “write me a post about X,” ask: “What’s missing from my brief?” Let the AI push back. Ask it what you haven’t thought of.
That shift — from director to collaborator — is where the tool stops feeling like a fancy autocomplete and starts feeling like something genuinely useful.
The craft is worth learning. The map is there. You’re probably closer to the interesting part than you think.