Describe what you want in one line. Get back a structured prompt for ChatGPT, Claude, Gemini, Midjourney or Sora, with every part labelled so you can see what was decided for you.
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Every generated prompt is split into labelled parts, so you can see which decisions were made for you and change the ones you disagree with.
Six parts. Skip one and the model fills it with a guess.
Most disappointing AI answers are not caused by a weak model. They are caused by a prompt that left several decisions open, so the model made those decisions itself and picked differently than you would have. Ask for “a newsletter about our price increase” and something has to decide who is reading it, whether the tone is apologetic or matter-of-fact, how long it runs, and whether the new price appears in the first line or the last. You did not decide any of that. The model did.
A well-formed prompt closes those gaps before the model gets a chance to guess. In practice about seventy per cent of it is the same whatever you are asking for:
The remaining thirty per cent depends entirely on what you are asking for, and that is where most free prompt generators stop being useful.
Eight fields, each with its own checklist and its own failure modes.
A prompt for a Python bug and a prompt for a bedtime story share a skeleton and nothing else. The code prompt needs a language version, a framework version, the exact error text and a rule about dependencies. Tone is irrelevant to it. The story prompt needs an age, a reading level and a length, and has no use for a dependency rule. Feeding both through the same template produces something that looks structured and settles none of the decisions that mattered.
This tool keeps a separate checklist for each kind of work. Pick the task and the generator asks the questions that field actually fails on.
Articles, emails, ad copy, scripts, social posts.
Settled for you
Guarded against
generic openings that could introduce any topic
Writing, fixing, reviewing or explaining code.
Settled for you
Guarded against
answering with pseudocode when runnable code was needed
Spreadsheets, queries, reports, chart specifications.
Settled for you
Guarded against
estimating a number instead of saying the data does not contain it
Lessons, explanations, practice questions, tutoring.
Settled for you
Guarded against
pitching the explanation above the stated level
Plans, research briefs, proposals, decision memos.
Settled for you
Guarded against
presenting assumptions as findings
Midjourney, DALL·E, Stable Diffusion, Flux.
Settled for you
Guarded against
writing instructions in sentences instead of describing the scene
Sora, Veo, Kling, Runway.
Settled for you
Guarded against
describing several cuts in a prompt that produces a single shot
Reusable instructions, assistants, automated workflows.
Settled for you
Guarded against
no defined behaviour for the unhappy path
There is one place where the shared skeleton breaks down completely. A text model reads an instruction: full sentences, a role, constraints, an output contract. An image or video model reads a description: comma-separated phrases naming the subject, the setting, the medium, the lighting, the lens, the composition, the palette, plus parameters and a list of things to exclude.
Writing “You are a professional photographer, please create…” into Midjourney spends prompt budget on words the model has no use for. Role prompting does not exist there. Video models add a dimension neither of the other two has — camera movement, shot size and duration — and describing several cuts in a prompt that produces one continuous shot is the single most common reason video output ignores what you asked for. The generator switches mode automatically when you pick an image or video task, and drops the sections that would be dead weight.
Content is settled first, layout last.
Once the content of a prompt is settled, how it is laid out still changes the result. Models were trained on different conventions and respond to the structural cues they saw most. Pick your destination and the last layer of the generator reformats the same content to suit it.
Five checks. They work on any tool's output, not just this one.
Length is not quality. A prompt that runs six hundred words and still leaves your audience unnamed is worse than a ninety-word one that names it. Run any generated prompt through these five checks before you use it.
Scan for your numbers, names, dates and platforms. If the generator dropped one to make the prompt read more smoothly, it has already cost you a rewrite.
Claims about your company, your audience size or your results should appear only if you supplied them. A prompt that asserts things you never said will produce an answer built on them.
"Well structured" is not a format. "Four sections with H2 headings, 600 to 700 words, no bullet lists" is, because you can look at the answer and tell.
Generic constraints like "be accurate" do nothing. Useful ones name what tends to go wrong in that task: no invented statistics, no library outside the standard one, no answer given before the student has tried.
If a competent person who has never met you could execute the prompt and produce roughly what you pictured, it is finished. If they would have to ask you a question first, that question is the gap.
Five patterns, in the order they waste the most time.
“Summarise this report” usually means “tell me whether I need to read it.” The first produces a neutral condensation; the second produces a verdict. Prompts fail more often on the wrong objective than on the wrong wording.
Comprehensive and under 200 words. Formal and playful. Beginner-friendly and technically rigorous. When two requirements pull apart, a model satisfies one and quietly abandons the other, and which one it abandons is not predictable. Decide the trade-off yourself and put the losing side in constraints.
Format is the cheapest thing to specify and the most expensive to fix afterwards. Naming the shape of the answer costs you one sentence and saves the entire round of reformatting that would otherwise follow.
Padding is not specification. Every sentence in a prompt should remove an option the model would otherwise have had. If a sentence does not do that, delete it.
The first answer is data, not a verdict. When it misses, the useful move is to find the decision the prompt left open and close it, rather than regenerating and hoping the model chooses differently.
The half that is harder to find on a competitor's homepage.
Every site in this category claims to be the best free prompt generator, so that claim is worth nothing on its own. Here is the other half.
Prompt Writer is built and maintained by Murad Ali Shah at Digsil, an independent app studio. It is not affiliated with any model provider.
When you press the button, your idea is combined with the checklist for the task you chose and the formatting rules for the model you chose, and sent once to a language model. Nothing else happens: no account, no tracking profile, no email capture. Your daily allowance is counted against a hashed key that cannot be turned back into an IP address, and identical requests are served from a seven-day cache so they never cost a second call. The site is funded by advertising, which is why the free allowance is a stated number rather than an unlimited promise nobody in this category can keep.
Answered plainly, including the ones with awkward answers.
Yes. You get 5 prompts a day without an account, and the counter resets at midnight UTC. The site is paid for by advertising, which is why the daily number is stated openly rather than hidden behind a vague "fair use" phrase.
No. There is no account, no email field and no card. Your daily allowance is tracked with a hashed, non-reversible key derived from your connection, and nothing about you is stored.
Any of them. Choose ChatGPT, Claude, Gemini, Midjourney or Sora to have the prompt formatted the way that model reads best, or choose "Any model" for a plain version that works everywhere.
Because they are different kinds of object. A text model reads an instruction, so it gets a role, requirements and constraints. An image or video model reads a description, so it gets comma-separated scene details and parameters instead. Writing "you are a professional photographer" into Midjourney simply wastes prompt budget.
You should. The generator settles the decisions your idea left open and tells you which ones it made. Anything it guessed about your audience, tone or format is the first thing worth changing.
Only if the free tier stops covering its own costs, and the free daily allowance will stay in place if that happens. Nothing that works today will be moved behind a paywall later.
Generated prompts are cached for seven days so an identical request does not cost a second model call. The cache key is a hash of the request, it is not linked to you, and it expires on its own.
Paste your next question into the generator first and compare the two answers. That comparison is the whole argument for writing prompts properly.
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