The one-click prompt optimizer
Optimizing a prompt isn't magic — it's completing the specification. PromptAI restructures what you typed into an optimized prompt with role, context, ordered instructions, constraints, and output format, in one click inside ChatGPT, Claude, and Gemini, or via ⌘⇧P on Mac. Test it right here, no login.
Free to try with no sign-up. Chrome extension for web AI chats, Mac app for Claude Code, Cursor, and any native text input.
The live optimizer — paste a rough prompt and see the optimized version, free, no login.
What is an AI prompt optimizer?
An AI prompt optimizer takes the prompt you were about to send and returns a version engineered to get a better answer. The optimization is structural: an explicit role that anchors the model's expertise, the context you had in your head but didn't type, instructions in a deliberate order, constraints that block generic filler, and an output format so the answer arrives in the shape you need. Same request, complete specification.
It's worth being precise about what 'optimizer' means, because the word covers two different tool families. Developer frameworks optimize a single prompt against test suites and metrics — the right approach for a prompt that ships inside a product and runs a million times. PromptAI is the other kind: an everyday optimizer for the dozens of one-off prompts you write daily, where the win comes from applying known structure instantly rather than from iterating against a benchmark.
That everyday kind has to live where you type or it goes unused. PromptAI runs as a Chrome extension inside ChatGPT, Claude, Gemini, Copilot, and Perplexity, and as a Mac app whose ⌘⇧P hotkey optimizes highlighted text in Claude Code, Cursor, VS Code, and any native input. The widget on this page is the same engine, zero install.
Optimization where it actually pays
Different surfaces reward different parts of the structure — the optimizer applies all of it, every time.
ChatGPT prompt optimizer
One click in the chatgpt.com composer. Output format and constraints are the highest-leverage additions for chat — they're what stop the wall-of-text default answer.
Claude prompt optimizer
Claude follows specifications more strictly than any other model, so optimized prompts pay off most here — you get exactly the sections, lengths, and formats you asked for, first try.
OpenAI Playground and system prompts
Starting an experiment from an optimized prompt isolates the variable you're testing. And a production system prompt with explicit behavior rules and an output contract is optimization that pays on every future request.
Agentic coding tools
In Claude Code, Cursor, and Antigravity, an optimized brief scopes files, constraints, and the definition of done — the difference between one reviewable diff and a wandering agent run.
Before and after: real AI prompts
Analysis ask — ChatGPT
analyze my competitors pricing
You are a pricing analyst for a B2B SaaS founder. Analyze the pricing of the three competitors I list below. For each: pricing model (flat, per-seat, usage), tiers with prices, what gates the upgrade, and the discount pattern (annual, volume). Then a synthesis: where the market clusters, where the gaps are, and two pricing moves worth testing for a product currently at $7.99/month. Output format: one table per competitor, then the synthesis as three short paragraphs. Constraints: use only the pricing pages I provide, flag anything ambiguous instead of guessing.
Doc draft — Claude
write an faq for my product
You are a support content writer. Draft an FAQ for a Chrome extension that enhances AI prompts, aimed at first-time visitors deciding whether to install. Produce exactly 8 questions: 3 about what it does and how, 2 about pricing and the free trial, 2 about privacy and data handling, 1 about compatibility. Format: H3 question, then a 2-4 sentence answer in plain language. Constraints: no marketing superlatives, answer the privacy questions concretely (what is sent, what is stored), reading level grade 8.
Agent brief — Cursor
make the dashboard load faster
You are optimizing a Next.js dashboard route. Task: cut initial load time of /dashboard. Scope: the dashboard route, its components, and data fetching only — no global config changes. Approach in order: (1) identify what blocks first paint (measure, don't guess), (2) defer or lazy-load below-the-fold widgets, (3) move static data to build-time or cached fetches. Constraints: no new dependencies, no visual changes, keep TypeScript strict. Definition of done: measured before/after numbers in the summary and all existing functionality intact.
Set up in under a minute
Test the optimizer here
Use the widget above with a real prompt from your day — no account, no install, judge the output directly.
Install for your surfaces
Chrome extension for ChatGPT, Claude, Gemini, Copilot, Perplexity; Mac app for coding tools and native apps. One account, both products.
Optimize in place
Click the button in the browser or press ⌘⇧P on highlighted text. The optimized prompt replaces your draft — review, adjust, send.
Frequently asked questions
What is the best AI prompt optimizer?
For everyday prompting: one that works inside every AI you use, optimizes in one click, and proves itself before asking for an account. PromptAI does all three — ChatGPT, Claude, Gemini, Copilot, and Perplexity in the browser, Claude Code and Cursor via Mac hotkey, and a free no-login widget on this page. For prompts that ship inside products at scale, pair it with an eval framework — different job.
What does prompt optimization actually do?
It completes the specification: role, context, ordered instructions, constraints, and output format. Models fill unspecified gaps with defaults — generic tone, arbitrary format, padded length. Optimization closes the gaps so the model spends its capability on your request instead of on guessing what you meant.
Is there a free prompt optimizer?
Yes. The widget on this page runs free with no sign-up. The Chrome extension is free to install with a 5-day trial, and paid plans start at $7.99/month for unlimited use across the extension and the Mac app.
Does it work for ChatGPT and Claude both?
Yes, and the same optimized prompt transfers between them — role, structure, and format constraints work across every major model. Claude follows them the most strictly, which makes it the model where optimization visibly pays off most, but ChatGPT and Gemini improve measurably from the same structure.
How is this different from prompt optimization frameworks like DSPy?
Frameworks optimize one prompt against test data and metrics — the right tool when a prompt ships inside a product and runs constantly. PromptAI optimizes the stream of one-off prompts you write by hand every day, where nobody is going to build an eval suite for a newsletter draft. Instant structural optimization, not benchmark iteration.
Can it optimize system prompts and custom GPT instructions?
Yes — highlight the draft anywhere on macOS and press ⌘⇧P, including in your code editor or the GPT builder. Instructions and system prompts are the highest-leverage optimization targets because they run on every future conversation.
Does PromptAI store or train on my prompts?
No. Text is sent only to the model that produces the optimization, never used for training or analytics, never shared. Billing metadata only — counts, not content.
Related reading
Try it on your next AI prompt
Free to try with no sign-up. Chrome extension for web AI chats, Mac app for Claude Code, Cursor, and any native text input.