Most people open ChatGPT, Copilot, Gemini, or similar, type a quick question, and get a wall of text that doesn’t quite fit their situation. Then they refine, re-ask, get frustrated. The problem usually isn’t the AI — it’s that the question left too much room for interpretation.
Here’s how I approach it to get useful answers faster.
The problem
You ask a question, get a technically correct answer, and none of it applies to your situation. You spend ten minutes re-phrasing. Sound familiar?
The root cause is almost always the same: the AI is filling in missing context with assumptions. And those assumptions are often wrong.
The solution
- Provide the image right — ask first: “What do you see in this image?” Read the response; if it’s off, re-upload, crop, or clarify before asking your real question.
- Add context — tell it who you are, what you have, and what you’re trying to do. One sentence is usually enough.
- Clarify at the end — after getting an answer, ask: “Is there anything else I should consider, or another way to do this?”
How it works
Validate what the AI sees before trusting its advice
Say you photograph the packaging of a porridge you want to cook. You send it to your chatbot and ask how to prepare it. But the image is a bit blurry, the brand name is partially cut off, and the AI identifies it as a different product — or misses the key instructions on the back.
Asking “what do you see in this image?” first takes five seconds. If the answer describes the wrong product or skips the details that matter, you know to re-upload or clarify before going further. It’s a small check that prevents you from following advice for the wrong thing.
Specificity is not about writing more — it’s about writing the right things
Compare these two questions:
“How do I cook this porridge?”
vs.
“How do I cook this porridge in a multicooker using oat milk?”
The first question could produce a dozen variations. The second gives the AI your actual setup — and it can answer directly. You’re not asking it to guess your situation anymore.
The useful context usually fits into one sentence: what you’re trying to do, what you have, and any constraint that matters.
One follow-up question is often worth half the conversation
After you get a useful answer, dig one level deeper on the parts that aren’t fully covered. For example:
“I want it sweet but I’d rather not use added sugar. I have apples, erythritol, and a banana — what are my options?”
This is where chatbots genuinely shine. Instead of browsing ten recipe blogs, you get options ranked by what’s actually in your kitchen. The AI knew the recipe; now it knows your constraints.
Wrapping up
You don’t need to write perfect prompts. You just need to close the gaps: confirm what the AI is working with, give it your actual situation, and ask if anything was left out. That’s usually enough to cut the back-and-forth in half.