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Inspect, build, wire, optimize, and reuse TouchDesigner networks with AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TDPilot" yet — see the docs or source repo.
Create a TouchDesigner prototype network for an interactive installation: use a camera input, extract human silhouettes, drive a particle effect from the silhouettes, and output the final visuals fullscreen. Specify which operators to create, how to wire them, and recommended parameters for each step.
An actionable TD network plan with operator list, wiring layout, and key parameter recommendations.
Inspect this TouchDesigner network for performance bottlenecks and unstable nodes. Identify issues that may cause frame drops, dependency loops, or unnecessary computation, and provide concrete optimization suggestions including node replacements, caching strategy, and parameter changes.
A diagnostic report on network stability and performance with practical optimization steps.
Turn the reusable structures in this TouchDesigner project into technique templates. Extract the use cases, core operator combinations, wiring patterns, and caveats so they can be quickly reused in future projects.
A set of reusable technique templates or pattern notes for quickly building similar networks later.
Let AI control, inspect, and build TouchDesigner networks in real time.
Control TouchDesigner with AI to build networks, tweak parameters, and run Python.
Control TouchDesigner with natural language to build nodes and run scripts.
Capture TouchDesigner networks and get context-aware analysis and suggestions.
Inspect, optimize, and control TouchDesigner patches via MCP and web dashboard.
Control a live tldraw canvas with AI to generate diagrams from language.