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For facts, comparisons and research.
OpenAI, Anthropic, Google and Microsoft all teach the same four moves. Here they are, with a builder that writes the prompt with you, and the popular tricks that don’t work.
Checked Oct 2, 2026
Say what you want (start with a verb), give the context, describe the output — format, length, tone — and check the answer before you use it. Tricks like tips, threats and “you are an expert” don’t improve accuracy.
The AI already knows the facts. What it doesn’t know is you — your goal, your situation and what a good answer looks like. Learn how your audience, the AI, reads your words, and how to let one AI interview you and write the prompt for another.
Read the guide →Google’s own numbers: the prompts that work best average about 21 words, but most people type fewer than 9.
Today’s models reason before they answer, so some old advice now backfires. OpenAI says you no longer need “think step by step”, and to try without examples first. Anthropic says to drop shouting like “CRITICAL: you MUST” — plain instructions work better — and that models now read requests literally, so ask for exactly what you want. Because assistants can now send emails and buy things, the most important new habit is stating limits: “Prepare it as a draft. Don’t send it.”
Telling the assistant how to behave for the whole chat saves you repeating it in every message. Paste one of these at the start, then ask your questions.
For facts, comparisons and research.
For learning something new.
For decisions with several options.
For when you need it short and direct.
Want it to check its own facts too? See 7 prompts that stop AI making things up.
| Tip | What the studies found | Our advice |
|---|---|---|
| Offer a tip or make a threat | No meaningful effect on hard questions across 5 models (Wharton, 2025). | Drop it |
| “You are a world-class expert” | Doesn’t make answers more accurate across 6 models; odd personas can make some models refuse (Wharton, Dec 2025). | Use it for tone and audience, not accuracy |
| “Think step by step” | Helped older models; on today’s “thinking” models it changed results by about ±3% and made answers 20–80% slower (Wharton). | Describe what a good answer looks like instead |
| Be rude (or be polite) | One small study found rude prompts scored slightly higher; a larger follow-up found tone effects mostly disappear. | Be polite if you like — it doesn’t matter for accuracy |
| Paste in everything | Reasoning gets worse well before the length limit (ACL 2024). | Give the relevant context, one job per message |
Most of this research uses multiple-choice tests; nobody has run a rigorous trial on everyday tasks like emails.
Image tools want a described scene, not a pile of keywords. A template that works in ChatGPT and Gemini:
Put any words that must appear in quotes. Edit one thing at a time and say what must stay the same (“change only the background”). Describe what you want rather than what you don’t. For video, add camera movement and sound. Midjourney is the exception: short prompts work best there.
Sources: Anthropic · OpenAI cookbook · OpenAI reasoning guide · Google Prompting Guide 101 · Microsoft Copilot · Wharton: tip or threaten · Wharton: personas · Wharton: step by step · OpenAI image prompting · Google image guide · Google Veo guide
AI already knows the facts; it doesn’t know you. How to talk to AI — your goal, situation and standards — and how to let one AI write prompts for another.
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Eight copy-paste resume prompts built on the method OpenAI, Anthropic, Google and Microsoft teach: tailor to a job ad, fix bullets, cover letters, ATS checks.
AI still invents facts. Seven copy-paste prompts that cut hallucinations: allow “I don’t know”, quote first, cite or retract, self-audit, cross-check.
Use four parts: the goal (start with a verb), the context (who it’s for and why), the output (format, length, tone) and a check (ask it to list assumptions, then refine). Google found the best prompts average about 21 words; most people type fewer than 9.
Not for accuracy. Wharton researchers found expert personas didn’t make answers more accurate across six models. They can still help set the tone and audience.
Rarely with today’s “thinking” models: Wharton measured about ±3% change and 20–80% slower answers. Describe what a good answer looks like instead.
Not meaningfully. One small study found rude prompts scored slightly higher; a larger follow-up found tone effects mostly disappear. Be polite if you like.
Yes — start with our 8 resume prompts, or fill in the prompt builder on this page and copy the result.
Yes. OpenAI, Anthropic, Google and Microsoft all teach the same four moves, so a clear prompt works across all of them.