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AI-BletonGuy
AI-BletonGuy
Operator-first desktop copilot for Ableton Live. Translates natural-language intent into structured actions, safety checks, and performance-aware control instead of brittle automation hacks.
Problem
Creative control tools often feel either too brittle for real performance work or too vague to trust when a command has real musical consequences.
Why it matters
This is a serious machine-control project with real operator constraints: ambiguity handling, safety validation, local-model routing, and live creative control.
System description
AI-BletonGuy parses natural language into typed action plans, validates them, and routes execution through bridge layers for Ableton-focused control. It also supports popup control, camera-to-MIDI experimentation, pose/visual modes, and safer local execution patterns.
Operating context
The working code lives in the ableton-language-agent workspace as a desktop control system with bridge layers, safety rules, packaging notes, and operator docs. This dossier narrows that surface to the part that matters publicly: turning vague musical intent into structured actions that can be reviewed before they touch a live set.
Tools / methods
Constraints
- Has to remain safe under live performance conditions.
- Must separate interpretation from execution.
- Needs useful fallback behavior when the bridge or model is uncertain.
Workspace source
AI-BletonGuy is a local desktop copilot for controlling Ableton Live with natural language. It interprets a command, converts it into structured JSON, validates it against safety rules, and only then executes it through a bridge layer.
Source / ableton-language-agent/README.md
Workspace / ableton-language-agent
Detected files / 9
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