Wayfare

A corporate travel booking assistant: state your meetings, get itineraries that satisfy every hard constraint, and book with policy checks and manager approval.

When
Jul 2026
Role
Solo
Built with
FastAPI, LangGraph, Next.js, TypeScript, Supabase, pgvector, Claude, Duffel
Code
Public code
Links
By the numbers
53 commits of mine over 3 working days, Jul 27, 2026 to Jul 29, 2026

What I built

You type your meetings, or paste them as prose and confirm the draft. A constraint planner enumerates every itinerary that satisfies the hard constraints, then AI layers rank them and assess risk. Booking re-searches every leg against live flight data before anything is ticketed, and out-of-policy trips route to a manager.

What was hard

An empty result is useless. If no itinerary is feasible, the planner returns the constraint that blocked it and the smallest change that would fix it.

Money and time. Prices are stored as integer cents and every time is timezone-aware, because a flight that crosses midnight in another timezone is exactly where bugs hide.

What I learned

Each AI layer has a deterministic fallback, so the planner still works when the model is down. The model makes it better, it isn't holding it up.

Results

Flight search and booking run against Duffel's test environment. A live token is refused outright, so it can never buy a real ticket by accident.

Policy answers are grounded in the company's policy document, not the model's memory.