Free prompt optimizer for Claude, ChatGPT and Gemini

The Prompt Optimizer rewrites a rough draft into a structured prompt with a role, steps, constraints and an output format. The result is plain text, so it works in ChatGPT, Claude, Gemini, DeepSeek and other assistants.

Don’t have a prompt yet — just an idea? Use Prompt Builder to write one from scratch. Prompt Optimizer is for restructuring a prompt you’ve already written.
Optimization Mode
Estimated Prompt Size: ~0 tokens
BloatedOriginal Prompt48 words
“Can you write me a blog post about remote work productivity? I want it to have some tips in it and be pretty long, with an intro and conclusion, and make sure it's good for people on software teams who work from home. Please don't make it too generic though.”
OptimizedCuelara Output+ Full Structure
Role: Senior productivity coach and content strategist.

Task: Write a 1,200-word blog post on remote work productivity for software teams.

Structure:
- Hook addressing common WFH struggles
- 5 actionable tips with real examples
- Closing call-to-action

Constraints:
- No generic advice (e.g. "take breaks")
- Include specific tools or techniques
- Tone: professional but conversational
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Call it as an MCP tool from Claude Desktop, Claude Code, Cursor, Copilot, Gemini CLI, Antigravity, and more — POST /api/mcp

Setup guide
Prompt Engineering & Instruction Design

How the Prompt Optimizer Turns a Rough Idea into a Structured Prompt

When interacting with frontier AI tools like ChatGPT, Claude, or Gemini, the quality of your output is fundamentally bounded by the structural clarity of your input. Typing casual, one-sentence requests often leads to vague, generic answers, missing code edge-cases, and endless back-and-forth re-prompting.

Prompt Optimizer solves this instantly. Simply paste your raw idea into the studio above, select your desired mode (Coding, Writing, Business, Research, or General), and our optimization engine automatically compiles your request into a structured instruction set that leaves the AI much less to guess.

5 Tailored Optimization Modes for Every Task

Coding & Software Architecture

Enforces strict type safety, modular design patterns, comprehensive error handling, and eliminates lazy “// implement later” placeholders.

Writing & Copywriting

Calibrates tone of voice, enforces strong narrative hooks, and strictly bans repetitive AI cliches like “delve”, “tapestry”, and “beacon”.

Business & Strategy

Formats prompts around actionable executive frameworks (SWOT, ROI, Risk Assessment) to produce executive-ready memos and strategic roadmaps.

Academic & Research

Requires empirical evidence, transparent confidence ratings, balanced counter-arguments, and structured analytical methodology.

General & Daily Productivity

The all-around optimizer for transforming brainstorms, planning sessions, and everyday workflows into clear, unambiguous directions for your AI assistant.

Anatomy of a High-Performing AI Prompt

Every prompt generated by our Prompt Optimizer includes the 4 foundational pillars of professional prompt engineering:

1. Role & Persona Anchoring

Gives the model a clear role for the task, so it answers from the right perspective and vocabulary.

2. Explicit Task Execution Steps

Breaks down your request into sequential, unambiguous instructions, so fewer steps are left to guess.

3. Strict Negative Constraints

States what to avoid, such as unwanted behaviours, invented sources and generic filler phrases.

4. Output Schema & Format Rules

Dictates the exact visual layout (Markdown, JSON, tables) so the response is immediately copy-paste ready for your workflow.

What the Prompt Optimizer does

A prompt optimizer rewrites a rough prompt into a clearer, more structured one. Cuelara's free prompt optimizer takes what you would normally type into ChatGPT, Claude or Gemini, lets you pick a mode and a level of detail, and returns a prompt with a clear role, a precise task, constraints and an output format, keeping your original intent.

Most disappointing AI answers come from underspecified prompts, not weak models. Writing a good prompt by hand works, but you have to remember every part: who the AI should act as, what to avoid, what the answer should look like. The optimizer applies that checklist for you, and you then edit the result.

The output is model-neutral plain text with Markdown-style headings, so it works as a Claude prompt optimizer as much as for ChatGPT or Gemini: you paste the result into whichever assistant you use. It does not rewrite the wording differently for each model. To build a Claude-specific prompt from an idea, with XML-tagged sections, use the Claude prompt generator. To grade a prompt before you send it, use the AI prompt checker, and to find out why one fails, use the prompt debugger.

How to use the Prompt Optimizer

  1. 1

    Paste your rough prompt

    Write it the way you normally would, even if it is one messy sentence. You do not need to structure anything yourself.

  2. 2

    Choose a mode

    General, Coding, Writing, Business or Research. The mode decides which role, standards and output format the rewritten prompt uses.

  3. 3

    Choose how detailed it should be

    Concise keeps the prompt short and cheap to send. Balanced adds standard context and constraints. Detailed and Comprehensive add edge cases, extra constraints and a fuller output specification.

  4. 4

    Optimize, review and copy

    Read the result and compare it with your original (the Diff & Cost Estimate tool shows the two side by side), then copy it into your AI chat or save it to your workspace.

Example: before and after

Before

write me a function that validates emails

After

### ROLE
You are a senior TypeScript engineer who writes clean, type-safe code.

### OBJECTIVE
Write a function that validates email addresses.

### REQUIREMENTS
1. Return a boolean and export it as a named function.
2. Handle empty strings, whitespace and missing @ or domain.
3. Include 5 unit tests covering valid and invalid cases.

### CONSTRAINTS
- No external libraries.
- No placeholder comments; return working code.

### OUTPUT FORMAT
One TypeScript code block, then a two-line note on the validation rules used.

The one-line request had no language, no edge cases and no output format. The optimized version fixes all three, so the model has far less to guess.

Who the Prompt Optimizer is for

  • Developers

    Get specific, testable code from a model instead of a generic snippet.

  • Writers and marketers

    Turn a topic into a prompt with tone, audience and structure already decided.

  • Analysts and researchers

    Ask for evidence, limitations and a fixed output structure every time.

  • Anyone new to prompting

    Learn what a good prompt contains by comparing it with your own.

Prompt Optimizer FAQ

What is a prompt optimizer?

A prompt optimizer rewrites a rough or vague prompt into a clearer, more structured one so an AI model has less to guess. Cuelara's Prompt Optimizer keeps your goal and adds a role, the exact task, constraints and the format of the answer.

What does a prompt optimizer actually change?

It keeps your goal and adds the missing structure: a role for the AI, the exact task, constraints and things to avoid, and the format of the answer. The result is longer than your input but far less ambiguous.

Does it work as a Claude prompt optimizer?

Yes, in the sense that the optimized prompt is plain text you paste straight into Claude. The tool does not tailor the wording per model, so it is the same prompt you would use in ChatGPT or Gemini. For a prompt written with XML tags for Claude, use the Claude prompt generator.

Is there an OpenAI prompt optimizer, and how is this different?

OpenAI offers its own prompt optimizing tools for its models. Cuelara's Prompt Optimizer is model-neutral: it does not use OpenAI's tool, and it produces plain-text prompts you can use in ChatGPT, Claude, Gemini and other assistants. Choose whichever suits the model you use.

Can I use it for Gemini prompts?

Yes. The output is plain text with Markdown-style headings, so you can paste it into Gemini or any other chat model. To build a prompt for Gemini from an idea, see the Gemini prompt generator.

Which mode and detail level should I pick?

Pick the mode closest to your task: Coding adds engineering standards and error handling, Writing adds tone and style rules and avoids AI cliches, Business adds an executive format, and Research asks for evidence and limitations. When unsure, use General. Concise gives a short result; Comprehensive is the most thorough. To trim a long result, run it through the token optimizer.

Is the prompt optimizer free?

Yes. You can use it free within a daily limit, without an account. Signing in raises the limit, and the paid plans raise it again.

Prompts to try it on

Browse the Prompt Cookbook
RAG & Knowledge Retrieval

ChatGPT Prompt to Rewrite User Queries for Better RAG Retrieval Results

This ChatGPT prompt is for developers building a RAG (retrieval augmented generation) system who are seeing weak or irrelevant search result…

ROLE:
You are a query rewriting assistant for a document retrieval system. Your job is to turn a user's question into one or more search queries that will retrieve relevant passages more effectively.

CONTEXT:
Conversation history (most recent last):
[PASTE_LAST_2-4_CONVERSATION_TURNS]

Current user question:
[PASTE_CURRENT_QUESTION]

TASK:
1. Resolve any pronouns or references in the current question using the conversation history.
2. Expand abbreviations and vague terms into the specific language likely used in source documents about [DESCRIBE_DOMAIN, e.g. "internal HR policy documents"].
3. Produce [NUMBER, e.g. 2-3] alternate search queries that capture the same intent from different angles.

CONSTRAINTS:
- Do not introduce new topics, assumptions, or details the user did not raise.
- Keep each rewritten query under 20 words.
- If the original question is already specific and self-contained, return it unchanged as the only query.

OUTPUT FORMAT:
Return a JSON array of strings, one per rewritten query, with no additional commentary.

Make this prompt yours

Content & SEO

ChatGPT Prompt to Create an SEO-Optimized Content Outline From a Target Keyword

This SEO content outline prompt turns a single target keyword into a ready to write article structure, and it's built for bloggers, content…

ROLE: You are an experienced SEO content strategist who plans articles around search intent rather than guessing at structure.

CONTEXT:
- Target keyword or phrase: [TARGET KEYWORD]
- Content type: [BLOG POST / LANDING PAGE / PRODUCT PAGE / GUIDE]
- Target audience: [DESCRIBE AUDIENCE, E.G. "SMALL BUSINESS OWNERS NEW TO ACCOUNTING SOFTWARE"]
- Approximate target length: [WORD COUNT RANGE]
- Reference URLs or competitors to consider (optional): [LIST URLS OR "NONE"]

TASK:
1. State the most likely search intent behind this keyword (informational, commercial investigation, transactional, or navigational) and explain briefly why.
2. Propose a title tag and H1 that includes the target keyword naturally.
3. Build a full outline using H2 and H3 headings that covers what a reader with this intent would need, in a logical reading order.
4. For each H2 section, add one line noting what it should cover and an estimated word count.
5. List 3-5 related subtopics or questions that could become FAQ entries or additional sections.

CONSTRAINTS:
- Do not write full paragraphs of body copy — headings and brief notes only
- Keep the keyword and close variations natural; do not stuff the keyword into every heading
- Flag any section where you are uncertain the topic needs expert or cited input

OUTPUT FORMAT:
Return as:
- Search Intent: [analysis]
- Title Tag / H1: [title]
- Outline: [H2/H3 structure with notes and word counts]
- Suggested FAQ/subtopics: [list]

Make this prompt yours

Prompt Fundamentals & Techniques

AI Prompt for Step-Back Prompting to Improve Reasoning Accuracy

Step back prompting is a technique for getting more accurate answers from ChatGPT, Claude, or Gemini by asking the model to first state the…

ROLE: You are a careful reasoning assistant that solves problems by first identifying general principles.

TASK: Answer the following specific question: [SPECIFIC QUESTION OR PROBLEM]

CONSTRAINTS:
1. Before answering, state the general principle, rule, or concept that applies to this type of problem. Write this as a standalone statement that would be true for any similar problem, not just this one.
2. Then explain how that general principle applies to the specific details given.
3. Only after steps 1 and 2, give your final answer.
4. If your final answer seems to contradict the general principle you stated, flag the contradiction and revise instead of ignoring it.

OUTPUT FORMAT:
General Principle: [the abstracted rule]
Application: [how the rule applies to this specific case]
Final Answer: [the specific answer]

DOMAIN CONTEXT: [OPTIONAL: SUBJECT AREA, E.G. PHYSICS, TAX LAW, SOFTWARE DEBUGGING]

Make this prompt yours

Further reading: Fix Generic ChatGPT Answers - Prompt Optimizer