Prompt Builder

Prompt Builder

Build AI prompts like LEGO blocks — reusable & testable

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Prompt Builder is a modular prompt engineering platform where you construct AI prompts from drag-and-drop blocks instead of raw text. Stack, reorder, show/hide, and tag individual sections to build complex instructions with precision. Features include dynamic variables for reusable templates, real-time live preview, multi-model execution, voice input with translation, and an editable AI response pane.Organize everything with folders and smart search. Share securely with password-protected links.
This is the 2nd launch from Prompt Builder. View more

Prompt Builder

Launching today
Build AI prompts like LEGO blocks — reusable & testable
Prompt Builder is a modular prompt engineering platform where you construct AI prompts from drag-and-drop blocks instead of raw text. Stack, reorder, show/hide, and tag individual sections to build complex instructions with precision. Features include dynamic variables for reusable templates, real-time live preview, multi-model execution, voice input with translation, and an editable AI response pane.Organize everything with folders and smart search. Share securely with password-protected links.
Interactive
Prompt Builder gallery image
Prompt Builder gallery image
Prompt Builder gallery image
Prompt Builder gallery image
Prompt Builder gallery image
Prompt Builder gallery image
Prompt Builder gallery image
Free
Launch tags:Productivity•Writing•Developer Tools
Launch Team
Tines
Tines
The intelligent workflow platform
Promoted

What do you think? …

Jaber Said
Maker
📌
Hey Product Hunt! 👋 I created Prompt Builder because I was tired of managing complex prompts in Apple Notes and messy text files. As prompts get longer (especially with reasoning models like o1), editing them becomes a nightmare. I realized we didn't need another "prompt library"—we needed an IDE for Prompt Engineering. So I built it. With Prompt Builder, you can: Stack modular blocks instead of raw text. Use variables to turn one prompt into 100 templates. Test output across different models side-by-side. I’d love to know: What is the biggest pain point in your current prompting workflow? Let me know in the comments below! 👇