Wearing a Mic So Your AI Agent Acts as Chief of Staff
Wearing a Mic So Your AI Agent Acts as Chief of Staff
The idea of a voice-first agent on macOS that captures spoken commands and executes them is becoming practical. Not a voice assistant that answers questions - an agent that actually does things on your computer when you speak.
How It Works
You wear a microphone - AirPods, a lapel mic, or even your Mac's built-in mic. A local speech-to-text model like Whisper runs on Apple Silicon, transcribing your speech in real time. The transcript feeds into an LLM that extracts intent and triggers actions through your actual desktop apps.
Say "update the deal with Acme to closed-won in Salesforce" and the agent opens Salesforce, finds the deal, and updates the status. Say "draft a reply to Jake's email saying we can meet Thursday at 2" and it opens Mail, finds Jake's email, and writes the draft.
Why Voice Changes Everything
Voice removes the biggest friction point in desktop automation - you have to stop what you are doing to type commands. With voice, you capture ideas and tasks the moment they occur. Walking between meetings, cooking lunch, driving - none of these require you to stop and type.
The chief of staff metaphor is apt. A human chief of staff listens, captures action items, and executes them without being asked twice. A voice-first agent does the same thing, but it has access to every app on your Mac through accessibility APIs.
The Technical Stack
The practical version running today uses:
- Whisper on Apple Silicon for local, private transcription
- Accessibility APIs to control any macOS application
- Persistent memory so the agent knows your contacts, projects, and preferences
- MCP servers for connecting to external services
Privacy Matters
Everything runs locally. Your voice never leaves your machine. The transcription happens on-device, the LLM can run locally or through an API with your own keys, and the actions execute through native macOS APIs. No cloud service is recording your ambient conversations.
This is exactly the kind of workflow Fazm is built for - a local-first macOS agent that uses your voice as the primary input, with the accessibility tree as its hands.
Fazm is an open source macOS AI agent. Open source on GitHub.