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 2026Recommendations
Wayfinder - AI Planning And Recommendation Assistant project visual
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
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.
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.
Technologies used in AI product development
React
TypeScript
PostgreSQL
OpenAI API
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