I shipped Peter AI – a 400MB Windows AI Audio Engineer with free audio troubleshooting with an agent-friendly architecture
After several months of building, testing, breaking things, and rebuilding them again, I finally shipped the first public version of Peter AI.
Peter is a native Windows application that's only about 400MB, but it's designed to act as an AI Audio Engineer. The original goal was simple: make PC audio easier to understand and eliminate the hours people spend digging through Windows settings, drivers, Discord threads, and forum posts just to fix one audio problem.
Right now Peter can:
- Troubleshoot common Windows audio issues for free
- Scan your audio pipeline and help identify configuration problems
- Walk users through fixes in plain English
- Generate personalized audio profiles based on the user's headset, game, and listening goals
- Learn from user feedback to improve future recommendations
- Run as a native Windows application with a privacy-focused hybrid local/cloud architecture
One thing I'm most excited about is that I built Peter to be agent-friendly.
Instead of existing as just another AI chat application, Peter exposes functionality that other AI systems can call into. That means an AI agent can use Peter's capabilities to troubleshoot audio, generate or refine audio profiles, and automate parts of the workflow. The integrations depend on how you connect your own agent, but I intentionally designed Peter so it could become a useful tool that other AI systems can leverage... not just something people chat with directly.
The philosophy behind it was pretty simple:
AI shouldn't just answer questions; it should be able to use real tools when the user wants it to.
Privacy was another major goal. Rather than relying entirely on cloud processing, Peter uses a hybrid local/cloud architecture so as much analysis as practical can stay on the user's own PC, while cloud services are used only where they actually add value.
This is only v1.0, so there's still a lot I want to build, but getting it shipped has been a huge milestone.
I'd genuinely love feedback from other developers on:
- How you'd expose desktop tools like this to AI agents
- Ways you'd improve the agent integration model
- Features you'd want from an AI-native desktop utility
- General architecture feedback
Repository and downloads:
https://github.com/athleteaudio/Peter-AI
I'd love to hear what you think.