evanacci.dev / project / tinyintent
03 of 05
↳ project 03 paused
TinyIntent
“voice automation, local first”
TinyIntent is a voice automation platform that respects your privacy. iPhone Shortcuts dictates your speech, then a small ELECTRA classifier, exported to Core ML and accelerated on the Apple Neural Engine, decides whether the request is local or needs escalation. Helpers handle weather, system metrics, network telemetry, log analysis, and trading. The Mac bridge is locked behind a shared secret, the request size is capped, and the label set is whitelisted. SmallIntent, the model, is mine. I trained it on 439 labeled examples.
↳ highlights
- 01 On device classifier. No cloud round trip for routing.
- 02 SmallIntent model. ELECTRA small backbone, 13.5 million parameters, exported to Core ML for the Neural Engine.
- 03 Helpers are sandboxed. Schema validated, two step confirmation for critical actions.
- 04 Bridge is hardened. Shared secret auth, request size caps, label whitelist, LAN exposure opt in.
- 05 Multi domain. Weather, system, network, trading, DevOps, all from one voice interface.
↳ stack
SwiftCoreMLPythonFastAPIPyTorchOllama