Device Twin architecture
The AI Device Twin bridges the gap between emulator and real-device behavior by applying predictive models to emulator execution results.
warning
The Device Twin is designed but not built in Phase 1. The current pipeline uses direct emulator execution without prediction overlay.
Architecture (planned)
The Device Twin operates as a sidecar to the Execution layer (L2):
- Calibration — Learns emulator-to-device divergence patterns from paired test runs
- Prediction — Applies learned patterns to emulator results to predict real-device behavior
- Confidence adjustment — Modifies confidence scores based on predicted device-specific risks
MVP status
Phase 1 uses direct Android emulator execution. Device Twin capabilities are planned for Phase 2 (Month 4-6).
What's next
- 5-layer deep dive — Full pipeline architecture
- Verification Cascade — Multi-stage verification