Need something custom?
Create a prompt for your exact task, context, and requirements.
The thinking behind the templates
Why this structure works.
- 01
The deliverable comes first
Each card asks for a concrete result rather than an elaborate persona. That gives you something specific to accept, revise or reject.
- 02
Facts and additions have different rules
Source-based cards preserve supplied details and label proposals or unknowns. These are instructions to follow, not a guarantee of accuracy; the result still needs comparison with the source.
- 03
Constraints have consequences
A full week can produce an overflow list, an unsupported resume requirement stays a gap, and a decisive unknown can block a recommendation. The prompts do not ask for a confident answer at any cost.
- 04
Review is part of the task
Matching source phrases, separate practice answers, visible image requirements and unexecuted code checks make the intended review concrete. They do not replace independent verification or actual software testing.
How to use
- 01
Choose one card by the result you need. Use a drafting card for new writing, natural-edit for an existing draft, and source-summary when compression—not rewriting—is the job.
- 02
Gather that card's inputs before running it. Paste the relevant text or facts, include hard limits, and remove secrets or unnecessary personal information. Replace fictional sample details with your own authorized material.
- 03
Replace the selected card's placeholders. Leave a field blank only when its description gives a fallback. Copy the complete filled prompt into an appropriate ChatGPT session; the photo card requires image generation.
- 04
Review the result using the card's checks. Compare factual claims with your inputs, inspect images at the intended crop, and run generated code separately before trusting its behavior.
- 05
If something fails, request one specific correction while naming what must stay unchanged. Keep the version only when the required facts, constraints and output checks hold.
Run a quick quality check.
Ready-to-use checklist
- Written output answers the actual task and fits the reader, format and length requested.
- Names or aliases, quantities, dates, qualifications and commitments match the supplied material.
- A summary's source anchors support its points; proposals and unresolved disagreements have not become settled facts.
- A schedule's allocations and buffer fit the available hours, with unfinished work visibly deferred.
- Study questions match the learning goal, and their answers follow from the supplied material.
- An image preserves the important subject count, crop and relationships without unintended lettering.
- Code has been reviewed and run against relevant cases before use; a plausible preview or a proposed test is not treated as proof.
Small choices that improve the result.
Make it stronger
- Supply one small, representative sample when voice matters. Mark it as a style reference so its facts are not mistaken for facts about the new draft.
- State the non-negotiable detail first: the promise you cannot make, the deadline you cannot move or the feature an image must show.
- For a revision, name the failure precisely: 'Keep the uncertainty about the venue' is more actionable than 'Make it better.'
Common mistakes
Pasting a link instead of the necessary material
these self-contained cards need the actual excerpt or facts. Use a browsing-capable workflow when reading the live page is essential.
Calling every new detail an improvement
a stronger-sounding resume metric or a firmer email promise may be unsupported. Remove it unless you can substantiate it.
Using the image card for an identity-preserving selfie edit
it creates a new scene from text. Move to a reference-image workflow when the existing person or photograph must remain the same.
Stacking several unrelated jobs into one request
choose the first useful deliverable, review it, then carry the approved result into the next task.
Further guidance
A ChatGPT prompt cheat sheet
A prompt tells ChatGPT what you want it to do. OpenAI's guidance emphasizes clear instructions, relevant context and reviewing the response before refining the request. You can use the checklist below without adopting a named prompting framework. (help.openai.com)
- Task: Name the thing you want back, such as an email, comparison, explanation, image or source file.
- Reader or use: Say who needs it and what they should understand or do.
- Material: Separate the facts to use from examples, preferences and ideas the model may invent.
- Limits: Give the few restrictions that would make a result unusable if ignored.
- Shape: Specify a useful format and a realistic size.
- Check: Name one observable test, such as preserving all deadlines or showing the source for each main point.
Photos, portraits and Christmas images: new scene or edit?
Use the image card for a newly imagined scene. For pictures of yourself, a selfie transformation or an edit that must preserve an existing face, start with an authorized reference image in a suitable image-editing workflow. A written appearance description is not evidence of your identity.
ChatGPT accepts uploaded image inputs, subject to account and usage limits. This gallery's image card uses a written brief only; it does not perform an uploaded-photo edit or verify a likeness. (help.openai.com)
For a new image, try one of these original scene briefs in the subject field, then set the crop and light. They are starting ideas, not recorded generation results or a ranking of current trends.
- Christmas still life: An emerald ceramic mug beside a folded plaid scarf and one silver ornament on a snowy windowsill. Warm lights blur in the background. Keep the objects unbranded and leave clear space on the left for a greeting you can add later.
- Fictional portrait: An adult gardener in a plain linen apron at the doorway of a small greenhouse, holding a tray of seedlings. Use a waist-up crop, soft overcast light and natural texture; keep the whole tray in frame.
- Funny picture: A very serious tortoise working as a lifeguard beside a teaspoon-sized swimming pool. Give it a tiny blank rescue float, keep the tortoise's anatomy recognizable and let the size mismatch carry the joke.
Custom instructions, system prompts and personality
Use reusable preferences for how you want answers presented; keep the facts of today's task in the task prompt. OpenAI documents Custom Instructions as a way to customize responses and distinguishes this interface feature from API system messages. A reusable preference is not a substitute for the source material a task needs. (help.openai.com)
Optional preference text to adapt: Prefer direct, warm explanations. Start with the answer. Use a brief example when it adds clarity. Separate facts I supplied from suggestions. If important information is missing, say so. Challenge an unsupported premise respectfully rather than agreeing automatically.
Keep passwords, confidential client details and temporary project facts out of reusable preferences. For a particular draft, describe voice through practical traits—such as concise, patient or lightly humorous—instead of asking the model to become a different person.
Know when a prompt needs another tool
Summarizing supplied material is not the same as verifying it. OpenAI warns that ChatGPT can produce incorrect facts and fabricated references, and recommends checking important information. Source anchors in these cards point back to your text; they are not independent confirmation. (help.openai.com)
Use a workflow with actual access when the job requires current research, an uploaded file or a private account. Use an interactive session for ongoing tutoring, interviews or games. These cards deliver bounded drafts, practice material and source code—not completed live research, file execution or a simulated conversation history.
For resume work, remove personal identifiers and check the content before using it. The University of Texas at San Antonio's career-center guidance recommends both, along with revising the wording in your own style. The resume card's evidence map is an additional review aid, not proof of hiring effectiveness. (careercenter.utsa.edu)
- Current or consequential claims: verify against appropriate reliable sources; obtain qualified advice for medical, legal or financial decisions.
- Software: save and inspect the generated source, then execute the acceptance checks in a suitable local environment. A visual preview does not establish functional correctness.
- Personal reflection: use the result as questions to consider, not a diagnosis or a verdict on your character.
What it's for
Match the prompt to the job.
What this helps you do
- A written draft, reply or edit grounded in the details you supply.
- A traceable summary or focused study pack with questions and a separate answer key.
- A proposed plan, idea shortlist or comparison that exposes constraints and missing information.
- Resume content or personal reflection that keeps evidence separate from interpretation.
- A newly generated photo-style image or small offline tool's source, with task-specific review checks.
Who it's for
Find the right fit for your task.
Start with the first-draft prompt for a short written task, or choose the card that matches what you already have: source text, a rough message, lesson notes, a task list or a visual idea.
These prompts request the result itself. The image card asks for a new picture; the coding card asks for complete source. Neither claims to edit an unseen photo, access an account or verify facts for you.
People writing on someone else's behalf
You need a clear message without adding promises, facts or a voice that the sender would not use.
Learners with notes but no practice plan
You want an explanation and questions tied to the material you actually need to understand.
Busy individuals and small teams
You need to see what fits the available time, which idea to try or what evidence a choice still lacks.
Job seekers and reflective professionals
You want to express real experience and explore selected examples without fabricated achievements or personality verdicts.
Occasional visual creators and coding learners
You want a bounded artifact to inspect, with clear separation between a new image and a photo edit, or between source code and tested software.
FAQ
How many free ChatGPT prompts can I send per day?
There is not one daily number covering every type of request. OpenAI's current Free Tier FAQ describes everyday text chats as unlimited, subject to abuse-prevention safeguards, while image generation, uploads and other tools have separate limits. Follow the limit or reset notice shown in your account rather than a fixed number copied from a prompt list. (help.openai.com)
- ChatGPT Free Tier FAQ — OpenAI Help Center
What does 'make ChatGPT write like a human' mean here?
It means writing for a real reader in an appropriate voice while preserving the meaning. The natural-edit card uses your preferences or your own writing sample; it does not add deliberate mistakes, invent personal anecdotes or promise to pass an AI detector. Judge the revision by whether you would say it and whether every factual detail remains accurate.
Does this collection include ChatGPT jailbreak prompts?
No. This collection focuses on completing useful tasks, not bypassing safeguards. If a legitimate request is blocked, make its purpose and permitted scope clear rather than adding instructions to override rules. OpenAI recommends reviewing its policies and contacting support when you believe a prompt was blocked incorrectly. (help.openai.com)
- Why Was My ChatGPT Prompt Blocked? — OpenAI Help Center

