What is AURE and how does it transform my prompts?

AURE is an advanced prompt intelligence engine designed to transform rough, brief ideas into structured, high-performing prompts. It analyzes intent, adds domain-specific context, optimizes tone and parameters for models like ChatGPT, Claude, Gemini, Midjourney, and VEO—delivering significantly richer and more accurate AI responses.

How does the AURE Extension work across AI tools?

The AURE extension lives inside the web apps you already use—including ChatGPT, Claude, Gemini, Perplexity, and Grok. An overlay button appears right inside your prompt input area, enabling one-click prompt enhancement and preset injection without switching tabs.

Which AI models and platforms are supported by AURE?

AURE supports all major AI text, coding, and creative models, including GPT-4o, Claude 3.5 Sonnet, Gemini Pro, Grok, Midjourney v6, VEO Video Model, DALL-E 3, Stable Diffusion, and Perplexity.

Are my prompts and conversation data private and secure?

Yes, absolutely. AURE is built with a local-first privacy architecture. Your prompts and style profiles process locally in your browser. We never store, sell, or train public AI models on your private data or prompt history.

Is AURE free to use, and how do I get started?

Yes! AURE offers a free tier that gives you immediate access to the live prompt optimizer, core extension capabilities, and style memory profiles. You can get started right away by clicking 'Get started' or installing the Chrome extension.

How to Improve Prompts for AI Coding Assistants

Include the implementation context

Name the framework, relevant files, runtime assumptions, and existing conventions. A coding assistant cannot reliably infer project rules that are not visible in its context.

State the requested behavior.
Identify the files or boundaries it may change.
Mention tests, linting, and compatibility requirements.

Define acceptance criteria

Describe what must be true when the change is complete. Include edge cases and failure behavior, not just the happy path.

Acceptance criteria

The form rejects an empty value, preserves the existing API shape, shows a useful error, and has a test for each behavior.

Ask for verification

A good implementation prompt asks the assistant to inspect its work, run the relevant checks, and report what it could not verify. Review the diff yourself before merging.

Include the implementation context

Define acceptance criteria

Ask for verification

Turn your rough idea into a structured prompt