Voice before visual complexity
The interaction model prioritizes concise voice prompts with optional glanceable confirmations.
Product Builder / Product Strategist
An AI-powered traffic and navigation assistant concept built around voice interaction, shadow routing, traffic prompts, and mobile navigation experiences.
Traffic navigation experiences demand low-attention interaction, timely intelligence, and confidence in route changes. PAM AI explores a voice-first assistant that proactively helps users interpret and respond to road conditions.
How might mobile navigation support useful traffic decisions without demanding unsafe visual attention or interrupting a journey with noisy prompts?
I defined the product concept, voice interaction logic, mobile architecture, and technical planning for AI-supported routing prompts.
The interaction model prioritizes concise voice prompts with optional glanceable confirmations.
Alternative routes remain monitored so prompts can explain valuable changes at the moment action matters.
The concept requires a decision layer that combines route state, prompt eligibility, confidence thresholds, and explicit user control.
Selected product and workflow views from this work.
Build Together
I help early-stage teams frame the right system, direct the work, and get a credible product shipped.