Problem
Users often struggle when planning requires too many disconnected decisions. The product needed a guided flow that could collect preferences and turn them into clearer next steps.
Case Study
Wayfinder - AI-Based Planning App For Personalized Journeys
An AI-based app shaped as a public-facing case study for personalized planning, user preferences, recommendation flows, and AI-assisted decision support.
Project Year 2026AI Product ConceptRecommendationsAI Product UX
Overview
Wayfinder presents a polished AI product concept around guided planning, preference capture, recommendations, and a smoother decision-making flow for users.
The project is useful in the portfolio because it shows AI product thinking beyond standard delivery: shaping a user journey, turning scattered inputs into structured recommendations, and designing a system for AI-assisted personalization.
Engagement Breakdown
Solution
The concept was structured around onboarding, preference modeling, AI-assisted recommendation logic, and a responsive interface that keeps planning decisions organized.
Result
Wayfinder now works as a stronger public portfolio case study for AI personalization, product UX, recommendations, and full-stack product design.
Portfolio value
The project adds a useful product-lab example with a professional public identity and clear implementation context.
Confidentiality Note
Certain product details and implementation specifics are intentionally summarized for public presentation.