Wingman
Wingman is a real-time meeting and conversation copilot that runs entirely on local inference: speech-to-text and language-model reasoning both execute on-device, with no cloud API call at any stage.
- Real-time speech-to-text through a local Whisper model, no cloud STT API
- Conversational reasoning through a local LLM via Ollama, no cloud LLM API
- Fully local pipeline end to end, from audio capture to generated response, zero cloud API dependency at any stage
- Packaged as a standalone Electron desktop app
Problem
A meeting copilot that routes audio and conversation content through a cloud API is a privacy liability by design. Every word spoken leaves the machine and gets logged somewhere outside your control.
Approach
Wingman replaces every cloud dependency with a local equivalent: a local Whisper model handles speech-to-text, and a local model running through Ollama handles the conversational reasoning, chained into one real-time pipeline.
Outcome
A working real-time speech-to-response pipeline running entirely on local inference, packaged as a standalone Electron desktop app with no cloud API dependency at any stage.