Most people who say they “use AI” are really just typing questions into a chatbot like it’s a search engine. They fire off a lazy line, get a bland answer, then blame the model for being useless. I’ve done it too, and it’s a frustrating loop to be stuck in.
Then I came across a post from an AI professional that reframed the whole thing for me. The original poster argues something that stings a little: your results aren’t limited by the AI, they’re limited by how you prompt. The creator went down the rabbit hole back in December 2022, expecting prompting to just mean “ask better questions,” and instead found there are actual levels to this game. Six of them, to be exact, and each one separates amateurs from pros.
I loved how clearly this LinkedIn creator laid it out, so let me walk you through the ladder step by step. Each level adds one new ingredient, and each ingredient has a reason it matters.
The 6 levels of prompting
- Beginner (just the task). You hand AI a raw request like “Give me 10 ideas.” No context, no structure. Why it falls flat: the model has nothing to aim at, so it guesses. This is where most people live.
- Skilled (add context). Now you tell it who the output is for and why it matters. Why it helps: context narrows the target, so the answers stop being generic and start being relevant to your situation.
- Advanced (task + context + format). You specify how you want the answer shaped: a list, a table, a short paragraph. Why it matters: format is where outputs finally start looking usable instead of like a wall of text you have to reorganize yourself.
- Specialist (give AI a role). You say “Act as a content strategist” or whatever fits the job. Why it works: assigning a role instantly shifts the model’s tone, priorities, and depth. The author notes the thinking improves the moment you do this.
- Expert (add constraints). Exact numbers, rules, and limits. Say the word count, the do’s and don’ts, the boundaries. Why it matters: constraints kill the fluff and the randomness. You trade vague answers for precision.
- Elite (role + context + format + constraints + reasoning). The top rung. You ask the model to reason before it answers. Why it’s a different league: the AI starts thinking first, quality becomes consistent, and you shift from editing every output to simply approving it.
Here’s the part that stuck with me. The expert says that once this clicked, they stopped rewriting outputs and started designing them. The jump was from “this is okay” to “this is publish-ready.” That’s the whole promise of climbing the ladder.
Why this actually matters
The original poster shares a simple mental model I keep coming back to: AI is a mirror. Bad input gives you messy output. Clear input gives you sharp output. When your prompt is vague, the model isn’t failing you, it’s just reflecting the vagueness back.
Most people are parked at Level 1 or 2, cranking out weak prompts and quietly blaming the model. The real upgrade isn’t a fancier tool. It’s the way you communicate with the one you already have.
How to put this to work today
You don’t need to memorize all six levels at once. The creator’s advice is refreshingly practical, and here’s how I’d apply it:
- Audit your last prompt. Look at something you typed this week and spot which level it was. Most of us are lower than we think.
- Climb one rung at a time. Add context first. Once that feels natural, add format. Then a role. Then constraints. Then reasoning. Stacking beats overhauling.
- Build a template. Keep a reusable structure: role, context, format, constraints, and a request to reason first. Fill in the blanks each time instead of starting from scratch.
- Treat prompting as a skill, not a shortcut. The person who shared this is blunt about it: stop writing lazy prompts, start building structured ones, and expect the payoff to compound.
A quick before-and-after
Say you want blog ideas. A Level 1 prompt is “Give me 10 blog ideas.” A Level 6 version might read: “Act as a content strategist for a small B2B SaaS. My audience is time-strapped founders. Give me 10 blog ideas as a numbered list, each under 12 words, focused on practical wins, no generic topics. Before you answer, briefly reason through what this audience actually struggles with.” Same tool, wildly different result. That gap is the entire point the author is making.
I think this framework is so useful because it turns a fuzzy skill into a checklist anyone can follow. You can literally run through the levels before you hit enter.
The original poster broke all six down in an infographic worth studying, saving, and glancing at before your next prompt. Check out the full LinkedIn post for the complete breakdown, then go test where you land on the ladder.