Prompt Mixer
A collaborative workspace for developing AI features
Description:
Prompt Mixer is a collaborative workspace for managers, engineers, and data experts to develop AI features. It is a desktop app that allows users to keep, version, and test chains of prompts with different ML models and connections. Users can create prompts using Markdown and enhance them with AI. The app also provides suggestions to improve prompts and can even improve them automatically using AI.
For Tasks:
For Jobs:
Features
- Best-in-class Playground
- Advanced version control
- Connect any LLM model including local models using connectors
- Create prompts using Markdown
- Enhance prompts with AI
- Follow suggestions to improve prompts
- Improve prompts automatically using AI
Advantages
- Allows users to keep, version, and test chains of prompts with different ML models and connections
- Provides a collaborative workspace for managers, engineers, and data experts to develop AI features
- Offers a best-in-class Playground for creating and testing prompts
- Provides advanced version control for prompts
- Allows users to connect any LLM model including local models using connectors
- Provides suggestions to improve prompts
- Can improve prompts automatically using AI
Disadvantages
- May be too complex for some users
- Requires a desktop computer to use
- May not be suitable for all types of AI development
Frequently Asked Questions
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Q:What is Prompt Mixer?
A:Prompt Mixer is a desktop app that allows you to keep, version, and test chains of prompts with different ML models and connections. -
Q:Is Prompt Mixer paid software?
A:No, all main functions are available for free. You can pay for synchronization, teamwork, and tools that improve prompts. -
Q:Do you collect data?
A:No, we don’t collect any data, except when you use our services for synchronization. In this case, we will store all your prompts in an encrypted format without any access to them. -
Q:Can I add my connector?
A:Yes, you can. You can write your own connector and install it via a link from GitHub.
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