Voice-first todo list that updates live as you talk
I built a demo of a voice AI task manager. You speak naturally and it updates your visible task list in real time. Try it here, no sign up: https://taskmaster.keithschacht.com I find it useful to talk aloud to figure out priorities. With this, I can just ramble, “Mark that first task as done. Actually undo that. Add a task to proofread it. Move that to the top…” It’s built on LiveKit with a Rails web UI. It listens continuously, maps speech to tool calls, and keeps full task-list state so it understands vague references like “the third item” or “the one with my kids.” Voice feels…
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I built a demo of a voice AI task manager. You speak naturally and it updates your visible task list in real time. Try it here, no sign up: https://taskmaster.keithschacht.com I find it useful to talk aloud to figure out priorities. With this, I can just ramble, “Mark that first task as done. Actually undo that. Add a task to proofread it. Move that to the top…” It’s built on LiveKit with a Rails web UI. It listens continuously, maps speech to tool calls, and keeps full task-list state so it understands vague references like “the third item” or “the one with my kids.” Voice feels much faster for input, but visual feedback is still higher bandwidth for output. This is intentionally rough—a demo focused on interaction, not features. Curious how the interaction model feels for people? Code: https://github.com/keithschacht/taskmaster
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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