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System Prompt Builder.

A Pro tool for designing reusable system prompts with role, task, guardrails, and format presets β€” the difference between a one-off prompt and a dependable AI workflow.

System Prompt Builder Screen

A great system prompt is the difference between an AI that sometimes does what you want and one that reliably does. The System Prompt Builder turns prompt design into a structured form β€” role, task, audience, constraints, guardrails, and output format β€” and assembles them into a prompt that follows each provider's best practices.

Pro tool. Part of AI Playground Pro β€” the text and image playgrounds stay free with your own API keys. See pricing for Pro plans.

Opening the Builder

Find it in the sidebar under Tools. On first open you'll see the welcome gallery of saved prompts; click New Prompt to start a fresh one.

The Structured Fields

The Structured Fields

  • Role β€” Who the model is. Example: "You are a senior tax accountant who explains concepts in plain language."
  • Task β€” What it must do, stated precisely.
  • Audience β€” Who the output is for, so vocabulary and depth adapt automatically.
  • Constraints & Guardrails β€” Hard rules: things to never do, sensitive topics to avoid, length limits.
  • Output Format β€” Presets like JSON, markdown, bullet summary, or a custom template.

Provider-Aware Formatting

The builder auto-selects the prompt style per provider: XML-style tags for Anthropic models, markdown structure elsewhere. You don't need to remember which models prefer which β€” pick your provider and it's handled.

Tone & Verbosity Presets

Set tone (professional, casual, technical…) and verbosity (concise β†’ exhaustive) as presets rather than sentences. They translate into explicit instructions in the final prompt.

Generating and Reusing

  1. Fill in the fields you need β€” only the task is truly required.
  2. Click Generate and review the assembled prompt.
  3. Copy it into any chat, or Download as a file.
  4. Save it to your library β€” prompts persist in local SQLite and appear in your gallery next time.

Best Practices

  • Separate behavior from content β€” rules belong in the system prompt; the actual question belongs in the user message.
  • Guardrails beat apologies β€” "never invent sources" works better than asking the model to be careful.
  • Test across models β€” paste your system prompt into Compare mode and run it against 2–3 models at once.
  • Version your winners β€” when a prompt works, save it. Small wording changes can matter.

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