Describe the task
Start with the outcome. Add audience, context, format, and constraints only when they help.
Free · No sign-up · No external AI API
Build clearer prompts. Keep your text private.
Define the goal, audience, context, and output format. The workbench assembles a clear prompt locally in your browser.
Browser-only tool
Your text stays in this browser tab. The generator does not call an external AI API.
Result
Complete the goal and any helpful context. Your generated prompt will appear here in four formats.
How it works
The first release keeps one primary action per screen and separates creation, checking, and learning.
Start with the outcome. Add audience, context, format, and constraints only when they help.
Rule-based builders create detailed, compact, and reusable forms without contacting an AI provider.
Use the checker to identify missing structural cues, then run the final prompt in your own AI.
Before
Write a launch email for my app.
Fictional local example
ROLE: Lifecycle email editor GOAL: Draft one launch email for a fictional planning app. TARGET AI: Any text-based AI product USE CASE: Product launch email AUDIENCE: Freelance designers who already use the free plan CONTEXT: The fictional app adds weekly planning boards on September 8. No performance data or testimonials are supplied. TONE: Clear, useful, and direct OUTPUT FORMAT: Subject line, preview text, and a table with email body and one CTA LANGUAGE: English LENGTH: 150 to 190 words for the body MUST INCLUDE: The launch date, existing-user audience, and one CTA AVOID: Unsupported performance claims, testimonials, and false urgency CONSTRAINTS: Use only the supplied facts and label missing details. QUALITY CHECK: Confirm the date, audience, single CTA, length range, and excluded claims.
The second prompt is generated from the example fields above by the same browser-ready rules used in the workbench. It is not a customer result or a test in an external AI product.
Browse by workflow
The six use-case hubs connect each workflow to focused prompt libraries and practical guides.
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Prompt fundamentals
These core guides connect the workbench to practical methods for defining instructions, output formats, evidence checks, and model limitations.
Model-specific guidance
These evergreen guides rely on official documentation and avoid unstable model names in the URL.
Official-source-led guidance with product limitations.
Model GuideClaude prompting guideOfficial-source-led guidance with product limitations.
Model GuideGemini prompting guideOfficial-source-led guidance with product limitations.
Model GuideMidjourney prompting guideOfficial-source-led guidance with product limitations.
Editorial method
Each editorial page identifies who maintains it, when it was last updated, and what readers should verify before using an AI response.