The ChatGPT Prompt Cheat Sheet: 27 Reusable Formulas
Stop writing prompts from scratch. These 27 fill-in-the-blank templates cover 90% of what anyone asks ChatGPT — every [BRACKET] marks a slot to fill before you hit enter. They work in Claude and Gemini too.
In short: This page contains 27 copy-paste ready prompts, organized into 5 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.
Core Formulas Everyone Should Know
6 promptsRole + Task + Context + Format
1/27✨ What it does
ChatGPT answers as [ROLE] doing [TASK], using your [WHAT THE MODEL NEEDS TO KNOW] and returning the result in [FORMAT]. Fill those four slots, then edit the draft so it matches the decision you actually need.
You are [ROLE — e.g. a senior financial analyst at a mid-size SaaS company]. [TASK — e.g. Review the budget below and flag the three biggest risks]. Context: [WHAT THE MODEL NEEDS TO KNOW — who this is for, what decision it feeds, any constraints]. Format your answer as [FORMAT — e.g. a bulleted list, with a one-sentence summary at the top].
Pro tip: Most people fill in Role and Task and skip Context — then blame the model for generic output. Context is the slot doing the real work.
The Constraint Stack
2/27✨ What it does
ChatGPT writes [TASK] under hard limits: [LENGTH], [AUDIENCE], a [REQUIRED ELEMENT], a [FORBIDDEN ELEMENT], and reading [LEVEL]. Set the five constraints, then keep the draft that still sounds like you.
[TASK — e.g. Write a product announcement for our new dashboard]. Constraints: maximum [LENGTH]; written for [AUDIENCE]; must include [REQUIRED ELEMENT]; must NOT include [FORBIDDEN ELEMENT — e.g. exclamation marks, the word "excited", any pricing]; reading level: [LEVEL — e.g. a busy executive skimming on a phone].
Pro tip: The "must NOT include" slot is the most underused. Banning two or three pet phrases changes the output more than a paragraph describing your desired tone.
Audience + Outcome
3/27✨ What it does
ChatGPT explains [TOPIC] to [SPECIFIC AUDIENCE] so they can hit [CONCRETE OUTCOME], with [NUMBER] examples from [THEIR WORLD]. Name the reader and the outcome, then cut anything they still would not use.
Explain [TOPIC] to [SPECIFIC AUDIENCE — e.g. a new sales hire with no technical background] so that they can [CONCRETE OUTCOME — e.g. answer basic customer questions about it without escalating]. Use [NUMBER] examples drawn from [THEIR WORLD — e.g. situations a salesperson actually faces]. Skip anything they do not need for that outcome.
Pro tip: Make the outcome testable. "Understand X" produces a lecture; "be able to do X without help" produces a usable explanation.
The Few-Shot Formula
4/27✨ What it does
ChatGPT produces [NUMBER] more items for [NEW SUBJECT] that match the pattern, length, and tone of your [PASTE EXAMPLE] samples. Paste two or three real examples, then keep only the ones that still match your style.
I need more items in exactly this style. Here are examples of what I want: Example 1: [PASTE EXAMPLE]. Example 2: [PASTE EXAMPLE]. Example 3: [PASTE EXAMPLE]. Now produce [NUMBER] more for [NEW SUBJECT], matching the pattern, length, and tone of my examples exactly. Do not improve on the style — match it.
Pro tip: Your examples ARE the instruction, so curate them: one weak example in the set teaches the model the wrong pattern, and it will faithfully reproduce the flaw.
Ask Me Questions First
5/27✨ What it does
ChatGPT asks up to [NUMBER] questions about [TASK] before it writes the [DELIVERABLE], one at a time, so it does not guess your brief. Answer each question, then tweak the finished piece against the real facts.
I want you to [TASK — e.g. write a job description for our first marketing hire]. Before you write anything, ask me up to [NUMBER, e.g. 5] questions — one at a time — about anything that would change the output significantly. Once you have what you need, produce the [DELIVERABLE]. Do not start until you have asked.
Pro tip: Insist on one question at a time. Asked for five at once, the model front-loads generic questions; sequentially, each question builds on your last answer.
The Context Dump
6/27✨ What it does
ChatGPT reads your [PASTE EVERYTHING] background and answers only [THE SINGLE THING YOU WANT ANSWERED], or says the notes are not enough. Dump the messy context, then act on that one answer.
I am going to give you a lot of background, then one specific question at the end. Background: [PASTE EVERYTHING — emails, notes, docs, history, the messier the fine]. My one question: [THE SINGLE THING YOU WANT ANSWERED]. Answer only that question, using the background. If the background does not contain enough to answer, say exactly what is missing.
Pro tip: The closing line ("say exactly what is missing") is your hallucination guard. Without it, the model fills gaps with plausible inventions instead of flagging them.
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Writing & Editing Templates
6 promptsThe Rewrite Ladder
7/27✨ What it does
ChatGPT rewrites your [PASTE TEXT] three ways: grammar only, a tighter 25 percent cut, then a full rewrite with the same message. Drop in the draft, then pick the rung that still sounds like you.
Here is my draft: [PASTE TEXT]. Rewrite it three times at increasing intensity. Rung 1: fix only grammar and clarity — change nothing else. Rung 2: also tighten it by about 25% and improve flow. Rung 3: full rewrite for maximum impact, any structure you want, same core message. Label each rung so I can choose how much editing I accept.
Pro tip: Most people find rung 2 is the keeper. If you always pick rung 3, skip the ladder and ask for the rewrite directly; if you always pick rung 1, you need a proofreader, not a model.
Tone Transfer
8/27✨ What it does
ChatGPT rewrites [PASTE TEXT] so every fact stays put while the tone shifts from [CURRENT TONE] to [TARGET TONE]. Name both tones, then check numbers and commitments before you send.
Rewrite the text below so the content stays identical but the tone becomes [TARGET TONE — e.g. warm but direct, like a trusted colleague delivering hard news]. Currently it sounds [CURRENT TONE — e.g. stiff and corporate]. Keep every fact, number, and commitment unchanged. Text: [PASTE TEXT].
Pro tip: Describe tone with a person in a situation ("a coach at halftime") rather than adjectives ("motivational") — the model has far more to grab onto.
The Tightening Pass
9/27✨ What it does
ChatGPT cuts your draft by [PERCENTAGE] by deleting filler, not summarizing, then lists the five worst phrases it removed. Set the cut, then study that offender list so you stop writing them.
Cut the text below by [PERCENTAGE, e.g. 30%] without losing any ideas. Remove filler phrases, redundant sentences, throat-clearing openers, and hedge words. Do not compress by summarizing — compress by deleting what was not pulling weight. Then list the five worst offenders you cut, so I learn my own patterns. Text: [PASTE TEXT].
Pro tip: Give a percentage, not "make it concise." A number forces real cuts; "concise" gets you a token trim of maybe 5%.
The Style Match
10/27✨ What it does
ChatGPT studies two [PASTE 150+ WORDS] samples and writes [NEW PIECE] in your rhythm and vocabulary, not a parody. Paste real writing, then change any line that does not sound like a good day for you.
Here are two samples of my writing: Sample 1: [PASTE 150+ WORDS]. Sample 2: [PASTE 150+ WORDS]. Study the sentence length, rhythm, vocabulary, and quirks. Now write [NEW PIECE — e.g. a LinkedIn post about our product launch] in my voice. It should pass as something I wrote on a good day — not a parody of me, and not generic AI polish.
Pro tip: Use samples from the same genre as the new piece. Your email voice will not transfer to a blog post; give it blog writing if you want a blog post.
The Headline Multiplier
11/27✨ What it does
ChatGPT writes [NUMBER] headlines for [PIECE] across curiosity, a concrete number, and a bold claim, each under [CHARACTER COUNT], then marks its top two. Fill the topic and limit, then pick one and test it.
Write [NUMBER, e.g. 12] headline options for [PIECE — e.g. a blog post about remote onboarding mistakes]. Split them across three angles: a third driven by curiosity, a third by a specific number or concrete detail, a third by a bold claim. Hard limit: [CHARACTER COUNT] characters. Then mark your top two picks and give one sentence on why each would win.
Pro tip: Never take option one. Pick two finalists from different angles and test them; the angle you would not have written yourself wins more often than feels comfortable.
First Draft From Bullets
12/27✨ What it does
ChatGPT turns [PASTE BULLETS] into a [FORMAT] for [AUDIENCE], reorders if needed, and flags guesses with [CHECK]. Paste messy bullets, then resolve every flagged guess before you publish.
Turn these rough bullets into a [FORMAT — e.g. 600-word blog section / a one-page memo / a 90-second script] for [AUDIENCE]. My bullets: [PASTE BULLETS, MESSY IS FINE]. Keep my points in a logical order (reorder if mine is wrong), add transitions, and flag any spot where you had to guess my meaning with [CHECK: your assumption] so I can verify.
Pro tip: Resist the urge to clean up your bullets first. Messy bullets with real thoughts beat polished bullets with thin ones — the model handles mess; it cannot supply substance.
Analysis & Research Templates
5 promptsSummarize + So What
13/27✨ What it does
ChatGPT summarizes [PASTE TEXT OR REPORT] in [NUMBER] bullets, then writes a So what section for [YOUR ROLE/SITUATION]. Feed it the document, then use those implications in the decision you are making.
Summarize the text below in [NUMBER, e.g. 5] bullet points. Then add a final section called "So what" with 2-3 sentences on what this means specifically for [YOUR ROLE/SITUATION — e.g. a product manager deciding whether to build on this platform]. Text: [PASTE TEXT OR REPORT].
Pro tip: The more specific the role slot, the better the payoff. "For me" gets platitudes; "for a 10-person agency with two enterprise clients" gets analysis.
Steelman Both Sides
14/27✨ What it does
ChatGPT makes the strongest honest case for and against [DECISION OR DEBATED QUESTION], then names the one piece of evidence that would settle it. Read both sides, then go find that evidence before you decide.
I am deciding: [DECISION OR DEBATED QUESTION]. Make the strongest honest case FOR it, as its smartest advocate would. Then make the strongest honest case AGAINST it — no strawmen on either side. Finish with: the single piece of evidence or information that would most decisively settle this, and where I might get it.
Pro tip: Do not reveal which side you lean toward — the model picks up your preference from subtle wording and quietly puts a thumb on the scale.
Extract to Table
15/27✨ What it does
ChatGPT pulls every [ENTITY] from messy text into a table with [COLUMN 1], [COLUMN 2], and [COLUMN 3], writing unknown instead of guessing. Dump the messy text, then sort the rows and assign the next action.
Extract every [ENTITY — e.g. customer complaint / commitment / deadline / price mentioned] from the text below into a table with columns: [COLUMN 1], [COLUMN 2], [COLUMN 3]. One row per item, no items skipped or merged. Write "unknown" in any cell the text does not answer — do not infer or fill gaps. Text: [PASTE MESSY TEXT, EMAILS, OR NOTES].
Pro tip: The "unknown, do not infer" rule is the load-bearing line. Without it, the model helpfully invents plausible values for empty cells and you will not notice until one matters.
The Assumption Audit
16/27✨ What it does
ChatGPT lists every assumption under [PASTE PLAN], rates how load-bearing and how shaky each one is, and names the first to pressure-test. Put the plan in, then run that one test this week.
Here is my plan: [PASTE PLAN, STRATEGY, OR PITCH]. List every assumption it rests on — including the implicit ones I have not stated. For each: rate how load-bearing it is (does the plan survive if this is wrong?) and how confident I should actually be in it. Then name the one assumption I should pressure-test first, and a cheap way to test it this week.
Pro tip: Run this on plans you feel confident about. Confidence is precisely the signal that assumptions have stopped being visible to you.
Compare on My Criteria
17/27✨ What it does
ChatGPT scores [OPTION A] versus [OPTION B] (and [OPTION C] if you add it) for [DESCRIBE] using [LIST 3-5 CRITERIA THAT MATTER TO YOU], then recommends one. Fill your constraints, then choose after you check the scores you disagree with.
Compare [OPTION A] vs [OPTION B] (add [OPTION C] if relevant) for my specific situation: [DESCRIBE — budget, team size, constraints, what you are optimizing for]. Use these criteria: [LIST 3-5 CRITERIA THAT MATTER TO YOU]. Show a table scoring each option per criterion with one line of reasoning, then give a recommendation for MY situation — not a "both are great" non-answer.
Pro tip: If you cannot list your criteria, that IS the finding — run "Ask Me Questions First" on the decision before running this template.
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Work & Productivity Templates
5 promptsMeeting Notes to Action Items
18/27✨ What it does
ChatGPT turns raw meeting notes into an action table with task, owner, and deadline, plus decisions and open questions, and skips a discussion recap. Hand over the notes, then assign every UNASSIGNED line before you send the follow-up.
Below are raw meeting notes. Produce three sections: (1) Action items as a table — task, owner, deadline; if owner or deadline was not stated, write "UNASSIGNED" rather than guessing. (2) Decisions made, one line each. (3) Open questions that were raised but not resolved. Nothing else — no summary of the discussion. Notes: [PASTE NOTES OR TRANSCRIPT].
Pro tip: The UNASSIGNED flags are the real product — that list is exactly what to settle in your follow-up message, and it is why those tasks were going to fall through the cracks.
The Difficult Email
19/27✨ What it does
ChatGPT drafts two emails to [RECIPIENT + RELATIONSHIP] that achieve [WHAT MUST HAPPEN], honor [PRESERVE/AVOID], and stay under [NUMBER] words in [TONE]. Fill the relationship and goal, then send the version you would actually sign.
Write an email to [RECIPIENT + RELATIONSHIP — e.g. a long-term client who is consistently late paying]. Goal: [WHAT MUST HAPPEN — e.g. they pay the overdue invoice within 7 days]. It must also: [PRESERVE/AVOID — e.g. preserve the relationship, avoid sounding legalistic]. Tone: [TONE]. Under [NUMBER] words. Give me two versions: one more direct, one more diplomatic.
Pro tip: Send neither version verbatim — take the direct version's spine and the diplomatic version's opener. The blend is almost always the right email.
The Decision Memo
20/27✨ What it does
ChatGPT writes a one-page memo on [DECISION]: a one-sentence ask, short background, options in [LIST THEM], your [STATE IT] recommendation, and what would change your mind. Add [PASTE CONTEXT], then circulate the page for a yes or no.
Help me write a one-page decision memo on: [DECISION]. Structure: the decision in one sentence; background in 3 sentences max; options considered ([LIST THEM]) with the strongest point for and against each; my recommendation ([STATE IT]) and reasoning; what would change my mind. My raw notes: [PASTE CONTEXT]. Keep it under 400 words — it should be readable in two minutes.
Pro tip: Write the recommendation slot yourself before prompting. If you let the model pick, you will anchor on its choice — the memo should sharpen your decision, not make it.
Diverge Then Converge
21/27✨ What it does
ChatGPT brainstorms [NUMBER] ideas for [PROBLEM OR GOAL] with no filter, then ranks the list against [CRITERIA] and picks a top three. Run both phases, then take the winner into a real experiment.
Brainstorm [NUMBER, e.g. 20] ideas for [PROBLEM OR GOAL]. Phase 1 — diverge: no filtering, include obvious ones, weird ones, and at least three that seem impractical. Number them. Phase 2 — converge: evaluate the full list against [CRITERIA — e.g. cost under $1k, shippable in 2 weeks] and pick the top 3 with one sentence of reasoning each.
Pro tip: The deliberately impractical three are not filler — impossible ideas routinely contain a practical core, and the converge phase is where it gets extracted.
Explain Like I Am New Here
22/27✨ What it does
ChatGPT explains [SYSTEM] like you just joined: what it is, why teams have it, what usually breaks, and three sharp questions about your version. Read it once, then ask those three questions in your next meeting.
I just joined a team and keep hearing about [SYSTEM, PROCESS, OR JARGON — e.g. "our attribution model" or "the quarterly QBR process"]. Explain what it is, why organizations have it, what typically goes wrong with it, and the 3 questions a sharp new hire should ask about OUR version of it. Assume I am smart but have zero background in [DOMAIN].
Pro tip: Ask the three suggested questions to an actual colleague, not the model — the prompt builds your map, but only your team knows your territory.
Power-User Patterns
5 promptsChain-of-Thought Trigger
23/27✨ What it does
ChatGPT works through [PROBLEM] step by step, flags what could make each step wrong, then puts the final answer on its own line. Give it the calculation or policy, then verify the last line against your numbers.
[PROBLEM — e.g. paste a pricing calculation, a logic puzzle, a policy question with several conditions]. Work through this step by step, showing your reasoning at each stage before moving to the next. Consider what could make each step wrong. Only after the full walkthrough, state your final answer on its own line beginning with "ANSWER:".
Pro tip: Actually read the steps before trusting the answer line. When the model goes wrong, the broken step is visible in the chain — that is the entire point of asking for it.
The Critic Loop
24/27✨ What it does
ChatGPT drafts [TASK], critiques that draft against [CRITERIA], then rewrites it to fix every flaw it found. Set the criteria, then send only after you still agree with the critique.
Do this in three passes, all in one response. Pass 1: [TASK — e.g. write a cold outreach email to a podcast host]. Pass 2: critique your own draft harshly against these criteria: [CRITERIA — e.g. would a busy person read past line one? is there one clear ask? does it sound human?]. Pass 3: rewrite it fixing every flaw you found. Show all three passes.
Pro tip: Supply the critique criteria yourself. "Critique your draft" alone yields gentle notes; named criteria with teeth yield a genuinely better pass 3.
Flip the Interview
25/27✨ What it does
ChatGPT interviews you one question at a time toward [DELIVERABLE], following up for [NUMBER] questions, then writes from your answers. Answer honestly, then edit the draft so it still sounds like you.
I want to end up with [DELIVERABLE — e.g. a personal statement / a business plan outline / a difficult performance review]. Instead of drafting from what little I have told you, interview me: ask one question at a time, follow up on interesting threads, and push back where I am vague. After [NUMBER, e.g. 6-8] questions, tell me you have enough and produce the deliverable using my actual answers.
Pro tip: Give real answers, not polished ones. The follow-up questions are calibrated to what you say — performing for the interviewer just gets you a deliverable about your performance.
The Output Contract
26/27✨ What it does
ChatGPT processes your input and returns only [EXACT FORMAT], with a defined error shape if the input cannot be processed. Set the success and failure formats, then paste the output into the next tool.
Process the input below and return ONLY [EXACT FORMAT — e.g. valid JSON with keys "name", "priority" (1-5), and "next_step"; or: a markdown table with exactly these columns]. No introduction, no explanation, no closing remarks, no code fences around it. If the input is unprocessable, return [DEFINED ERROR FORMAT — e.g. {"error": "reason"}] instead. Input: [PASTE INPUT].
Pro tip: The error-case definition is what separates a contract from a request. Without it, malformed input gets you an apologetic paragraph that breaks whatever is parsing the output.
Three Versions, One Brief
27/27✨ What it does
ChatGPT creates [DELIVERABLE] for [BRIEF] in three labeled takes: SAFE, BOLD, and WILD, plus one line on the risk of each. Read all three, then develop the direction you actually want.
Create [DELIVERABLE — e.g. a tagline / an opening paragraph / a workshop title] for [BRIEF — audience, subject, goal]. Give me three meaningfully different takes: SAFE — the solid, expected approach; BOLD — takes a real risk in angle or tone; WILD — ignores at least one convention entirely. Label each and add one line on the trade-off it makes.
Pro tip: Track which label you pick across uses. Consistently choosing BOLD means your briefs are too cautious — start asking for two bold and one wild instead.
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