A mobile travel planner that puts complete trip control at the user’s fingertips — collaborative planning, interest-based itineraries, built-in attractions, and curated photo spots. Built AI-first in one month for a fraction of the traditional cost.
The client wanted a full-featured mobile travel planner: trip creation, collaborative planning with friends, hobby- and preference-based itineraries, an attractions catalogue, and a curated map of photo-worthy spots.
Every agency they spoke to quoted around $350k and roughly 9 months of work — driven by manual content curation, hand-rolled data scraping, and traditional sprint cycles. That budget and timeline killed the business case.
Real product screens from the shipped mobile app.
The traditional quotes assumed an army of editors curating attractions city by city, plus full custom scraping. We replaced most of that with an AI content pipeline: LLMs gather and normalise places, photos, opening hours, and descriptions; a senior engineer designs the schema, the evaluation harness, and the human-review UI.
On the build side, AI-first delivery means senior engineers using LLMs as a co-pilot for UI scaffolding, API stubs, tests, and documentation — compressing weeks of boilerplate into days. The product team stays small, decisions stay sharp, and the timeline collapses from 9 months to 4 weeks.
Book a free 30-minute call with a senior engineer. We’ll tell you honestly whether AI-first delivery can compress your build the way it did here — and what a realistic engagement would look like.