Most people learn AI the wrong way. They collect prompt templates, memorize frameworks, study “magic commands” from Reddit threads and Twitter threads and whatever newsletter is getting signal-boosted this week. Some of that is useful. But most of it misses the actual problem. And the problem isn’t the prompt format. It’s that the person never stopped to describe their real situation before typing.
The actual problem is they never described their real situation.
The Difference Is Stark
Look at these two prompts. Same person, same goal.
Vague version: “What are some good side hustles?”
Clear version: “I currently drive for a ride-hailing platform. I have about 2 hours of free time after work every day. I have a computer, but no budget to invest. I want to make money online, and ideally build something that could become a long-term main income source. Please suggest 10 suitable side hustles and break down the ROI, difficulty, and first validation steps for each.”
The second prompt isn’t more advanced. It just tells the AI the full picture: the situation, the resources, the constraints, and exactly what output is needed.
The difference in output is night and day. The first prompt gets you a listicle you could have found on page one of Google. Dropshipping, freelancing, content creation. Generic advice for a generic person with no specific context. The second prompt gets you a ranked list that actually fits your life. The AI can reason through your schedule, your zero-dollar budget, and the difference between quick cash and long-term income potential. Those aren’t just fancier words. They’re filters the AI uses to do the actual thinking work for you.
Here’s another example from a completely different domain. Say you want help writing a business email. “Write me a professional email” is nearly useless. But “I need to follow up with a potential client who went quiet after our proposal three weeks ago. The deal is worth about $8,000. I don’t want to sound desperate but I want to reopen the conversation. We last spoke over Zoom and the vibe was positive. Write me a short follow-up email” gets you something you can actually send today.
AI isn’t an all-knowing oracle. It’s closer to a very fast intern who only knows what you tell them. Give them a vague task and you get a vague result. Give them background, limits, and clear criteria and they can actually think alongside you. The intern analogy holds up surprisingly well: a smart new hire given zero context will produce safe, generic work. Brief them on the client, the history, and what matters right now, and suddenly they’re contributing something real.
🎯 Four Questions to Ask Before You Send Any Prompt
- What is my current situation? Not just the task. The actual context. Your role, your history with the problem, what you’ve already tried. A sentence or two here changes everything about what the AI prioritizes in its response.
- What resources do I have available? Time, money, tools, skills, access. The more specific you are here, the more practical and realistic the output becomes. Saying “I have $0 and a laptop” rules out an entire category of generic suggestions that would waste your time.
- What constraints am I working within? Deadlines. Hard limits. Things you won’t do. Policies you have to follow. Constraints help the AI eliminate options that technically answer your question but won’t work in your actual life. They turn “here are 20 possibilities” into “here are 3 things that actually fit.”
- What do I want the AI to help me decide or produce? Not just a topic. A deliverable. “Give me 5 options with tradeoffs” is different from “write me a draft” which is different from “help me think through this decision.” Naming the output format shapes every sentence the AI writes.
That’s the whole framework. No role prompts. No “act as” tricks. No elaborate system prompt engineering. Just an honest account of where you stand and what good output looks like for you. You can run through these four questions in under 60 seconds before you type anything else. Do it consistently and almost every AI interaction you have will get meaningfully better.
The Shift Worth Making
Most people ask AI what they want. The ones getting real results tell AI who they are, what they’re dealing with, and what success looks like from where they sit. That shift sounds small. It is not small. It changes the AI from an answer machine into something closer to a thinking partner, because now there’s enough shared context to actually reason together rather than just pattern-match to the nearest generic response.
Think about it this way. If you sat down with a sharp consultant and they asked what you need, you wouldn’t say “side hustles.” You’d explain your situation. Because you know the answer to “side hustles” is useless without the rest of the picture. AI deserves the same treatment. Feed it the picture first.
The prompts that get results aren’t the fancy ones with clever syntax and elaborate structures. They’re the honest ones, where someone took two extra minutes to actually explain what’s going on before asking for help. That discipline compounds. Your AI outputs improve not because you found better templates but because you got better at articulating your own situation clearly.
A clear description of your situation is already half the thinking done. Start there before you go hunting for a fancier template.
The AI didn’t get worse. The question just wasn’t complete!
Frequently Asked Questions
Q: Do I actually need to learn prompt frameworks and templates?
Not really. While frameworks can help organize your thinking, the real skill is just describing your actual situation clearly. You’ll get 80% of the benefits just by pausing 10 seconds and answering those four questions , where you are, what you have, what your limits are, and what you want.
Q: What’s the ICC pattern mentioned in the comments, and is it different from what the post describes?
ICC stands for Instructions, Context, Constraints , basically a fancy name for the same idea in the post. Some people find that giving it a name helps them remember to do it, especially when they’re in a rush. It’s the same thinking, just packaged in a way that sticks.
Q: Do I need to use complex or sophisticated language for AI to understand me better?
Not at all. AI actually responds better to clarity and substance than to fancy language. Even if you use casual, straightforward phrasing , as long as you actually explain your real situation , the model will pick it up and give you solid results.
Q: Why is context so much more important than the prompt template itself?
Think of AI like a smart intern, not an all-knowing expert. A vague task gets a vague result. But when you give it your actual situation, resources, and constraints, it can genuinely help you think through problems instead of just spitting out generic answers.
The best AI prompt is often just a clearer description of your real situation
by u/yannyi in ChatGPTPromptGenius