Most people treat AI chatbots like search engines—firing off quick questions and hoping for the best. But the difference between a mediocre AI response and a genuinely useful one often comes down to a handful of words.
These seven phrases work across ChatGPT, Claude, Gemini, and other major models. They’re not magic formulas, but they consistently steer AI toward more practical, detailed, and actually usable answers.
1. “Show your work” or “Explain your reasoning”
AI models are much more accurate when they think step-by-step. Adding this phrase forces the model to break down its logic rather than jumping to a conclusion.
Instead of: “Is this contract clause risky?”
Try: “Is this contract clause risky? Show your work.”
You’ll get an analysis that walks through each consideration, making it easier to spot flaws in the reasoning and understand why the AI came to its conclusion.
2. “In plain language” or “Explain like I’m not an expert”
By default, AI tends to match the complexity level of your prompt. If you ask about a technical topic, you’ll often get jargon-heavy responses even if you don’t want them.
This phrase tells the model to prioritize clarity over showing off vocabulary. It’s particularly useful when you’re researching something outside your field or need to explain a concept to someone else.
Example: “What is a webhook? Explain in plain language.”
3. “Give me three options” (or any specific number)
One of AI’s worst habits is giving you a single recommendation and moving on. Asking for multiple options forces the model to consider trade-offs and alternatives.
Instead of: “What’s the best way to structure this presentation?”
Try: “Give me three different ways to structure this presentation, with pros and cons for each.”
You’ll get variety, and the comparison helps you make a more informed choice rather than blindly trusting the first suggestion.
4. “Be specific” or “Give me concrete examples”
AI loves abstract, generic advice. This phrase pushes it toward actionable details.
Instead of: “How can I improve my cold emails?”
Try: “How can I improve my cold emails? Be specific and give me concrete examples of before and after versions.”
The difference is dramatic. You’ll go from vague tips like “personalize your message” to actual sample sentences you can adapt.
5. “What am I missing?” or “What questions should I be asking?”
This phrase flips the conversation. Instead of just answering your question, the AI considers what you might not have thought about yet.
It’s especially valuable for planning, troubleshooting, or tackling unfamiliar problems. The model will often surface blind spots or adjacent issues worth considering.
Example: “I’m setting up a newsletter for my business. What questions should I be asking that I haven’t thought of?”
6. “Without clichés” or “Skip the generic advice”
AI models are trained on internet text, which means they’ve absorbed every business buzzword and motivational cliché ever written. This phrase helps filter out the fluff.
Instead of: “How do I stay productive working from home?”
Try: “How do I stay productive working from home? Skip the generic advice and give me specific, uncommon strategies.”
You’ll get fewer suggestions about “taking breaks” and more actionable, less obvious tactics.
7. “Assume I’ve already tried the obvious solutions”
When troubleshooting or asking for help, AI often starts with Troubleshooting 101. This phrase moves the conversation past basic suggestions.
It’s particularly useful for technical problems, creative blocks, or any situation where you need deeper solutions.
Example: “My Google Ads campaign has a low click-through rate. Assume I’ve already tried the obvious solutions—what else should I test?”
Why These Work
These phrases succeed because they give the AI clearer constraints and goals. Models like GPT-4, Claude, and Gemini are designed to be helpful, but “helpful” is vague. When you specify how you want the answer shaped—detailed reasoning, multiple options, concrete examples—the model has much better targets to aim for.
The best part? You can combine these. Try: “Give me three ways to fix this, show your reasoning, and be specific with examples.”
Small changes to how you phrase prompts compound quickly. Master a few of these, and you’ll get dramatically better results without needing to become a prompt engineering expert.
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