Prompt workspace

Build a prompt for almost any AI task.

Turn rough intent into a reusable prompt with modes, patterns, guardrails, schemas, source rules, examples, variables, and separate system/user output. Free, runs in your browser, nothing uploaded.

01 / mode

Universal prompt mode

Pick the closest job, then tune the pattern and controls.

Ask / Direct

02 / task

Role, task, audience, output

03 / pattern

Prompt pattern

How the builder works

4 steps

01

Pick a mode

Choose the job — research, coding, writing, data, agents, extraction, support, visual, and more. Each mode loads sensible defaults for pattern, tone, source policy, and guardrails.

02

Add your material

Fill in the task, audience, context, and any source input or examples. The coverage checklist shows which parts of a strong prompt you still have missing.

03

Set the guardrails

Toggle behavior rules like no invented facts, uncertainty flagging, and safe tool use. Add must-includes, things to avoid, schemas, and eval cases for reusable prompts.

04

Copy and ship it

Copy the full prompt, or just the system or user half, into ChatGPT, Claude, Gemini, Cursor, or your own agent stack. Download it as a text file to keep it in your prompt library.

Prompt builder FAQ

5 answers

What makes a good AI prompt?

A good prompt is specific about four things: who the model should be, what you want done, what material it is working with, and what a good answer looks like. Vague prompts produce generic answers; the builder forces the specifics that change output quality.

Does this work with ChatGPT, Claude, and Gemini?

Yes. The generated prompt is plain text with labeled sections, which every major chat model and coding assistant understands. Use the Full output for chat apps, or the separate System and User outputs when wiring prompts into an API or agent framework.

What is a prompt pattern?

A pattern is a reusable instruction style, such as few-shot (learn from examples), plan-then-answer (reason privately, show a short rationale), critique-and-refine, rubric scoring, extraction, or grounded research. Patterns shape how the model approaches the task, not just what it produces.

When should I use an output schema?

Use a schema whenever the answer feeds another system — JSON for APIs, pipelines, and extraction tasks. The builder flags schema as missing whenever you pick a JSON output format or the extraction mode, so parseable output is never an afterthought.

Is the prompt builder free?

Yes. Everything runs in your browser, nothing is uploaded, and there is no account or usage limit. Build as many prompts as you want and keep them in your own library.

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