Inspiration

Build an end-to-end UI test runner that drives our Electron app with flylabs Cursor instead of synthetic events, so hover, drag thresholds and double-click timing behave like a real user.

Build it with the flylabs engine. Cursor (python, rust, js). Install and API: https://flylabs.dev/docs/cursor/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build an accessibility tool that maps a single switch plus a gaze tracker to full mouse control using flylabs Cursor, with the brain producing the motion.

Build it with the flylabs engine. Cursor (python, rust, js). Install and API: https://flylabs.dev/docs/cursor/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a point-and-click game bot for our own puzzle game using flylabs Cursor and log the trajectories for a human-likeness comparison.

Build it with the flylabs engine. Cursor (python, rust, js). Install and API: https://flylabs.dev/docs/cursor/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a test harness that fills every form in our onboarding flow with flylabs Keys at realistic typing speed and asserts the validation messages.

Build it with the flylabs engine. Keys (python, rust). Install and API: https://flylabs.dev/docs/keys/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a playtesting fleet for our kart racer with flylabs Pad agents and report per-track completion times against human medians.

Build it with the flylabs engine. Pad (python, rust). Install and API: https://flylabs.dev/docs/pad/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a MuJoCo training pipeline for our hexapod URDF using flylabs Servo and export the policy to the Rust runtime.

Build it with the flylabs engine. Servo (rust, python). Install and API: https://flylabs.dev/docs/servo/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a browser demo that runs flylabs Gaze on the webcam over WebGPU and draws boxes with velocity arrows.

Build it with the flylabs engine. Gaze (python, js, rust). Install and API: https://flylabs.dev/docs/gaze/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a local-only baby monitor that uses flylabs Sono to flag crying and glass breaking and sends a push notification from the device.

Build it with the flylabs engine. Sono (python, js, rust). Install and API: https://flylabs.dev/docs/sono/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build an auto-framing filter for our video-call app that uses flylabs Track to keep the speaker centred, running in the browser on WebGPU.

Build it with the flylabs engine. Track (python, js, rust). Install and API: https://flylabs.dev/docs/track/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a hands-free command bar for our desktop app with flylabs Dictate, where the brain decides when the command is complete.

Build it with the flylabs engine. Dictate (python, js). Install and API: https://flylabs.dev/docs/dictate/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.

Build a desktop agent that executes plain-English instructions on our app using flylabs Intent for grounding and Cursor and Keys for input.

Build it with the flylabs engine. Intent (python). Install and API: https://flylabs.dev/docs/intent/. Install: pip install flycore. Engine source: https://github.com/flylabs-dev/flycore. Machine-readable catalog of every weight set and platform: https://flylabs.dev/llms.txt.