Prompt Mixer

Prompt Mixer: Craft, Test, and Deploy Prompts for Maximum Efficiency

Craft, test, deploy prompts

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Prompt Mixer
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What is Prompt Mixer?

Prompt Mixer is a desktop app that allows you to keep, version, and test chains of prompts with different ML models and connections.

How to use Prompt Mixer?

Craft, test, and deploy prompts with different ML models and connections using the desktop app.

Prompt Mixer's Core 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

Automatic AI improvement

Prompt Mixer's Use Cases

Developing AI features

Crafting and testing prompts with different ML models

Testing chains of prompts

    Prompt Mixer Discord Here is the Prompt Mixer Discord: https://discord.gg/cvs7RDBC9a. For more Discord message, please click here(/discord/cvs7rdbc9a). Prompt Mixer Support Email & Customer service contact & Refund contact etc. Here is the Prompt Mixer support email for customer service: [email protected] . Prompt Mixer Company Prompt Mixer Company name: Prompt Mixer . Prompt Mixer Pricing Prompt Mixer Pricing Link: https://www.promptmixer.dev/pricing Prompt Mixer Twitter Prompt Mixer Twitter Link: https://twitter.com/promptmixerdev

FAQ from Prompt Mixer

What is Prompt Mixer?

Prompt Mixer is a desktop app that allows you to keep, version, and test chains of prompts with different ML models and connections.

How to use Prompt Mixer?

Craft, test, and deploy prompts with different ML models and connections using the desktop app.

Is Prompt Mixer paid software?

No, all main functions are available for free. You can pay for synchronization, teamwork, and tools that improve prompts.

Do you collect data?

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.

Can I add my connector?

Yes, you can. You can write your own connector and install it via a link from GitHub. Here is the link to the documentation.

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