Car “modes” today are manufacturer presets that adjust mechanical parameters — sport, comfort, eco. They ignore the actual experiential context of a drive: solo commute, family trip, work session between meetings, decompression after a hard day. Modern vehicles already know who is in the car, where it’s going, what’s on the driver’s calendar, and how they’re behaving. The ingredients for contextually intelligent experience orchestration exist — but no user-facing framework lets drivers compose, save, and trigger personalised flows that coordinate multiple vehicle systems together.​

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Which contextual dimensions — time, occupancy, location, calendar, biometrics — are genuinely useful triggers versus noise? What is the right interaction model for composing experience flows under driving attention constraints — explicit user definition or AI-learned proposals? Which vehicle systems should be customizable within a flow — lighting, audio, climate, navigation filtering, HUD, what else?​

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We are aiming at creating a working interface where a non-technical user creates, saves, and triggers custom flows with contextual AI suggestions. The context of the project is cars, but the similar approach can then be used for industrial use cases, such as heavy machinery or trucks.​