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Building an AI Travel Agent in Public
Description
The first build-in-public episode of Web3 in Travel. Instead of telling you what I've learned about AI, I build an AI travel agent on screen, unscripted, with Claude Code and Codex, and you watch every step, including the parts that break.
There are two agents. The first works for the traveller: it gets to know you, then finds where to stay. The second will work for the hotel: it reads the emails of guests who want to book direct, and later it could run on a local AI so guest data never leaves the hotel. The code will be open source, and the agents write the blog about it.
In this episode I test the traveller agent with Lollo, a made-up business traveller, search for three nights in Munich, and check what each search costs. Then I compare the results with Booking.com by hand, and hit the real blocker: the data. The AI was picking the best from a bad list. We fix it live with filters (Google 4.5+, at most €220 a night) and ranking by distance, and find hotels as good as Booking's, one of them €46 a night cheaper.
Collaborations: info@web3intravel.com
CHAPTERS
0:00 From telling to building
7:43 Where we left off
11:51 My setup
22:36 Meet Lollo
29:11 Built in a meeting
30:54 Searching for hotels
37:28 What a search costs
53:18 Booking.com by hand
62:43 The data problem
66:58 The fix