How to use AI Visualizer: what you can do with it

4 use cases

• Preview all four faces with a scripted demo

  Run the server and watch every face cycle through idle, listening, thinking and speaking with no setup.

  • REPO jaredrhod/ai-visualizer
  • Content
  • Beginner
  View prompt

  Clone https://github.com/jaredrhod/ai-visualizer, run ./run.sh in that folder, and open the gallery at the root URL. Report which of the four faces (Circuit Board, Radial, Face in the Code, Neural Core) you could open in demo mode. Verify that the page loads without errors and the demo cycles through idle, listening, thinking and speaking.

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• Give a Claude Code voice agent a live face

  Point the visualizer at a backtalk signal folder so the face follows the real conversation.

  • REPO jaredrhod/ai-visualizer
  • Claude Code
  • Content
  • Intermediate
  View prompt

  In the ai-visualizer repo, copy ai-visualizer.json.example to ai-visualizer.json, set name to <agent name> and bus_dir to <backtalk folder>, then run ./run.sh. Expected output: the root URL opens the configured face. Verify that the .voice_state file in the bus folder changes between idle, listening, thinking and speaking during a spoken exchange.

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• Capture the board as a stream background in OBS

  Add the Circuit Board face as an OBS browser source and trigger its Space-key flythrough on camera.

  • REPO jaredrhod/ai-visualizer
  • Content
  • Intermediate
  View prompt

  In the ai-visualizer folder, run ./run.sh, then confirm the Circuit Board face loads at the local root URL. Expected output: the board renders with the agent name on the center chip. Verify that pressing Space starts the flythrough overlay and that the board reverses flow while the state is listening.

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• Build a custom face that appears in the gallery

  Add a folder with an index.html that reads the shared signal bus through core.js.

  • REPO jaredrhod/ai-visualizer
  • Content
  • Advanced
  View prompt

  In the ai-visualizer repo, create faces/<face name>/index.html that includes core.js, calls AV.init(), and reads AV.state, AV.env and AV.samples in a draw loop. Expected output: the new face appears in the gallery at the root URL. Verify that the face changes its drawing when the demo or the .voice_state file moves between states.

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Quick start with AI Visualizer

1. Check you have what it needs: Python 3 (ships with macOS and most Linux systems; on Windows, use run.bat or python server.py); A web browser; Optional: a voice line or agent that writes the three signal files, such as backtalk, for live use.
2. Open jaredrhod/ai-visualizer on GitHub and read the README and license.
3. Run git clone https://github.com/jaredrhod/ai-visualizer
4. Run cd ai-visualizer
5. Run ./run.sh
6. In the browser gallery, click "watch the demo" on any face card, or add ?demo=1 to a face URL

These steps come from our top use case, Preview all four faces with a scripted demo, which also has a copy-paste agent prompt.

Using the Deduped MCP, get the setup steps for jaredrhod/ai-visualizer

claude mcp add --transport http deduped https://dedupedai.com/mcp

AI Visualizer alternatives · Best AI repos for Content

About this repo

• Who it is forBuilt for people running a voice AI agent who want a live visual face for it, and for streamers who want that face on screen.
• Why it is hot109 stars, launched 71 days ago
• LanguageHTML
• Sourcegithub.com/jaredrhod/ai-visualizer · Back to Hot repos

Requirements

• Python 3 (ships with macOS and most Linux systems; on Windows, use run.bat or python server.py)
• A web browser
• Optional: a voice line or agent that writes the three signal files, such as backtalk, for live use

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