My Role
Product Architect: Lead developer and designer for the end-to-end build.
AI Orchestration: Designed the agentic logic layer using Anthropic’s API to allow the car to predict needs (traffic, vehicle health, scheduling).
UI/UX Lead: Created a component-based design system optimized for high-speed, safety-first environments.
The Strategy: From "App Grid" to "Agentic Surface"
Proactive Synthesis
The interface synthesizes disparate signals—traffic, fuel levels, calendar conflicts, and personal habits—into a single, high-priority "Context Card" that guides the user through their journey.
The interface synthesizes disparate signals—traffic, fuel levels, calendar conflicts, and personal habits—into a single, high-priority "Context Card" that guides the user through their journey.
Adaptive Intelligence
Using a state-driven architecture, AURA dynamically evolves its interface based on real-time data. It doesn't just show notifications; it provides "Smart Reply" options based on the user's current destination and urgency.
Using a state-driven architecture, AURA dynamically evolves its interface based on real-time data. It doesn't just show notifications; it provides "Smart Reply" options based on the user's current destination and urgency.
Technical Implementation: The "Agentic Foundry"
This project pushed my development workflow further into AI-Augmented Engineering.
Stack: Built on React 18 and Vite, utilizing a Next.js-ready pipeline.
Agentic Workflow: I treated software engineering as a design discipline, using Claude-driven agentic loops to rapidly prototype complex state-management flows—specifically the "Act-based" demo architecture that handles non-linear user journeys (Departure → Incident → Resolution).
Design-Led Engineering: I enforced strict ADA/WCAG accessibility standards and token-based design governance, ensuring that the machine-generated logic maintains the high-fidelity aesthetic of a premium automotive brand.
