I've just released PolyPrompt, a desktop application that lets you send the same prompt to multiple AI models simultaneously. It's designed to help maximize the ROI from all your AI API subscriptions by letting you use them in parallel rather than choosing between them.
*The Problem:* Many of us have subscriptions to multiple AI services (OpenAI, Anthropic, Google), but we typically use them one at a time. This means we're not getting the full value from our subscriptions, and we're missing out on the unique strengths of each model.
*How PolyPrompt Works:*
- Send one prompt to multiple models simultaneously
- See real-time streaming responses side-by-side
- Compare outputs across different models
- Save and export all responses
- Securely store your API keys locally
*Supported Models:*
- OpenAI: All models including GPT-4o, GPT-4 Turbo, GPT-3.5
- Anthropic: All Claude models including Claude 3 Opus, Sonnet, and Haiku
- Google: All Gemini models including Pro and Ultra
PolyPrompt is available for Windows, macOS, and Linux. It's a paid app with a simple licensing model (monthly or yearly subscription).
I'd love to hear your feedback, especially from those who regularly use multiple AI models.
*The Problem:* Many of us have subscriptions to multiple AI services (OpenAI, Anthropic, Google), but we typically use them one at a time. This means we're not getting the full value from our subscriptions, and we're missing out on the unique strengths of each model.
*How PolyPrompt Works:*
- Send one prompt to multiple models simultaneously - See real-time streaming responses side-by-side - Compare outputs across different models - Save and export all responses - Securely store your API keys locally
*Supported Models:*
- OpenAI: All models including GPT-4o, GPT-4 Turbo, GPT-3.5 - Anthropic: All Claude models including Claude 3 Opus, Sonnet, and Haiku - Google: All Gemini models including Pro and Ultra
PolyPrompt is available for Windows, macOS, and Linux. It's a paid app with a simple licensing model (monthly or yearly subscription).
I'd love to hear your feedback, especially from those who regularly use multiple AI models.