How is this different from Improve My Prompt?

Improve My Prompt is a critique — it checks your prompt against 12 rules and returns numbered feedback plus a score, leaving the rewrite to you. The Prompt Optimizer is the transformer — it returns a single ready-to-paste optimized prompt with no commentary. Use the critique to learn, the optimizer to skip straight to a usable prompt.

What structure does it use?

Role, Context, Task, Constraints, Output Format, and Examples, each under an XML-style tag — the common skeleton behind Anthropic's role/context/task, OpenAI's outcome-first guidance, and Google's Persona-Task-Context-Format.

Does it work for ChatGPT, Claude, and Gemini?

Yes. The structured output (delimiters, explicit format, few-shot examples) follows cross-model best practices and pastes cleanly into any of them.

Will it invent requirements I didn't ask for?

No. It preserves your actual goal and any specifics you gave, and fills genuine gaps with reasonable defaults rather than inventing new requirements.

What model powers it?

Amazon Nova on AWS Bedrock — cheap and fast. Requests are daily-capped so the tool stays free.

AI Prompt Optimizer (Rewrites Your Prompt)

Turn a vague one-liner into a complete, well-structured prompt you can paste straight into ChatGPT, Claude, or Gemini. The optimizer rewrites your input into six labeled sections — Role, Context, Task, Constraints, Output Format, and few-shot Examples — applying prompt-engineering best practices: XML-style delimiters, outcome-first task framing, positive instructions, quantitative constraints, and grounding. Unlike the Improve My Prompt tool (which critiques your prompt against a checklist and returns feedback), this one hands you the finished, ready-to-use prompt. Built on Amazon Nova, daily-capped to stay free.

Rewrites your rough prompt into a structured, production-grade prompt — Role, Context, Task, Constraints, Output Format, and Examples. This rewrites; for a rule-by-rule critique use Improve My Prompt.

Paste your rough prompt0 / 8,000

Optimized prompt

The 6-section structure it builds

01 Role — Who the model should act as — the persona and expertise it adopts.
02 Context — Background the model needs before it starts: audience, goal, constraints of the situation.
03 Task — The single, explicit thing to do — broken into steps when the work is multi-stage.
04 Constraints — Hard rules: tone, length, what to avoid, quantitative limits ('5 bullets', not 'a few').
05 Output Format — The exact shape of the answer — markdown, JSON, headed sections, etc.
06 Examples — One or two few-shot examples so the model locks onto the pattern for non-trivial tasks.

This complements Improve My Prompt rather than duplicating it: Improve My Prompt gives you a rule-by-rule critique of a prompt you already wrote, while Prompt Optimizer takes a rough idea and hands you a finished, structured prompt to paste straight into your model. Powered by Amazon Nova.

Prompt writing guides

Techniques for building a better prompt: structure and templates, idea-to-prompt, few-shot examples, chain of thought, role prompting, and controlling the output format.

Prompt StructureThe building blocks of a strong prompt — role, context, task, constraints, output format, and examples — with a reusable template.Idea to PromptTurn a one-line idea of what you want into a full, ready-to-paste structured prompt.Few-Shot ExamplesShow the model one to three input-output examples so it copies the pattern you want.Chain of ThoughtPrompt the model to reason step by step to improve accuracy on multi-step math, logic, and planning tasks.Role PromptingAssign the model a role or persona to control tone, depth, and vocabulary in its answers.Output FormatGet consistent, parseable output by specifying the exact format, fields, and what to exclude.

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Frequently Asked Questions

How is this different from Improve My Prompt?: Improve My Prompt is a critique — it checks your prompt against 12 rules and returns numbered feedback plus a score, leaving the rewrite to you. The Prompt Optimizer is the transformer — it returns a single ready-to-paste optimized prompt with no commentary. Use the critique to learn, the optimizer to skip straight to a usable prompt.
What structure does it use?: Role, Context, Task, Constraints, Output Format, and Examples, each under an XML-style tag — the common skeleton behind Anthropic's role/context/task, OpenAI's outcome-first guidance, and Google's Persona-Task-Context-Format.
Does it work for ChatGPT, Claude, and Gemini?: Yes. The structured output (delimiters, explicit format, few-shot examples) follows cross-model best practices and pastes cleanly into any of them.
Will it invent requirements I didn't ask for?: No. It preserves your actual goal and any specifics you gave, and fills genuine gaps with reasonable defaults rather than inventing new requirements.
What model powers it?: Amazon Nova on AWS Bedrock — cheap and fast. Requests are daily-capped so the tool stays free.

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About AI Prompt Optimizer (Rewrites Your Prompt)

Paste a rough prompt and get a structured, production-grade rewrite — Role, Context, Task, Constraints, Output Format, and Examples — tuned to best practices from Anthropic, OpenAI, and Google. Powered by Amazon Nova. This AI-backed tool sends your input to MarkdownMe's capped Amazon Bedrock endpoint to generate the result. No account is required. MarkdownMe provides free, fast, and reliable Markdown tools for developers, writers, and anyone who works with Markdown.