What to build
An Electron desktop application implementing a voice agent with Deepgram's Voice Agent API, featuring both microphone and system audio capture with function calling for desktop automation tasks.
Why this matters
Desktop voice agents are an emerging category — developers building AI assistants, accessibility tools, and productivity apps need a reference for integrating Deepgram into Electron. Unlike browser-based voice agents, Electron apps can capture system audio (for meeting transcription), access the filesystem (for saving transcripts), and run local tools (for desktop automation). An Electron live transcription example exists, but a full voice agent with function calling demonstrates a significantly deeper integration pattern that developers building desktop AI assistants need.
Suggested scope
- Framework: Electron with electron-forge or electron-builder
- Language: TypeScript
- Deepgram APIs: Voice Agent API (STT + LLM + TTS), function calling
- Architecture: Main process manages Deepgram WebSocket connection and audio routing; renderer process shows conversation UI with waveform visualization; IPC bridge for function calling results
- Features: Microphone input, system audio capture (optional — for transcribing other apps), voice agent conversation with function calling (e.g., open URL, read clipboard, search files), transcript history with local persistence
- Complexity: Medium-high — Electron main/renderer architecture + Deepgram Voice Agent API + audio routing
Acceptance criteria
Raised by the DX intelligence system.
What to build
An Electron desktop application implementing a voice agent with Deepgram's Voice Agent API, featuring both microphone and system audio capture with function calling for desktop automation tasks.
Why this matters
Desktop voice agents are an emerging category — developers building AI assistants, accessibility tools, and productivity apps need a reference for integrating Deepgram into Electron. Unlike browser-based voice agents, Electron apps can capture system audio (for meeting transcription), access the filesystem (for saving transcripts), and run local tools (for desktop automation). An Electron live transcription example exists, but a full voice agent with function calling demonstrates a significantly deeper integration pattern that developers building desktop AI assistants need.
Suggested scope
Acceptance criteria
Raised by the DX intelligence system.