Express it on your device. Execute across edge and cloud.
Tasks start on your device, with the context of screens, files, and permissions.
The cloud explores new paths; the device checks and executes them. Caches keep evolving as environments change.
Path-finding compiler
Large model + Harness
Explore the initial path
Common-path clustering and admission checks
Identify frequent shared subpaths
Build cache components after the Verify Gate
Cloud behavioral cache gateway
Read-only segments: replay state results or files
Share results like a CDN
Continuous probes and live updates
Test sets + sampled Guard Miss signals
Recompile and push updates when failures emerge
Natural-language intent and local context
Screens, files, login state, and privacy permissions
Local executor
Guard checks + action trace replay
Common paths. Different ways to reuse them.
Switch between read-only results, action artifacts, and ongoing inspection responsibilities.
Return state results or files directly
Frequent shared paths become reusable components after clustering and admission checks. Read-only segments can return saved state artifacts through the cloud cache gateway, reducing inference and repeated execution within that segment.
Illustrates the architecture direction and division of responsibilities.
Find shared paths across users' tasks
Very different long-tail tasks can share intermediate paths: extracting structured data, parsing documents, converting formats across systems, or checking reconciliations.
The system identifies and clusters frequent common paths in the cloud. After admission checks, it compiles them into behavioral cache components and distributes them by read/write behavior.
Maintain caches as environments change
Page DOM, third-party APIs, and software interfaces keep changing. Test sets and device-side guard-mismatch signals help inspect cache health.
When failure rates rise or guards alert, the cloud calls the model to explore and recompile, then pushes updated cache artifacts to devices.
Intent starts on a personal device
Reading, communication, and daily work still happen on phones and computers. Screens, local files, login state, and permissions provide task context, allowing intent to be expressed on-device and executed across edge and cloud.
Build knowledge through execution
Build verification suites, private context, and behavioral cache libraries around the intent interface people use over time. Code can be regenerated; understanding real tasks, verification evidence, and reusable execution experience require ongoing work.