DirectBooker App in ChatGPT
DirectBooker app in ChatGPT is designed to leverage conversational AI as a new distribution and conversion surface for direct hotel bookings.
Partnering closely with engineering, I prototyped and validated context-aware in-chat experiences that surface direct prices and benefits at high-intent moments, driving user trust and booking efficiency.
Time
2025 - Present
Role
Lead Product Designer
Type
Conversational UX, AI Product Design
Background
When ChatGPT launched its in-chat apps powered by the Apps SDK and Model Context Protocol, it created a new way to reach users through conversation. Travel planning is a natural fit—most people start with open-ended questions rather than rigid search filters. But this also created a new design challenge: how do you build a product that lives entirely within conversation?
As lead designer on DirectBooker, I focused on making hotel discovery work conversationally, translating complex booking information—prices, amenities, availability—into natural dialogue.
Problem & Goals
Hotel discovery is fragmented and biased toward OTAs, which obscure direct prices, loyalty benefits, and exclusive perks. Travelers miss out on points and long-term value by booking through third-party platforms. With DirectBooker app in ChatGPT, DirectBooker set out to explore how conversational AI could reintroduce direct booking benefits when users are actively searching.
Goals
Drive efficient hotel discovery through conversational AI
Surface direct prices, loyalty benefits, and exclusive perks at high-intent moments
Increase trust and conversion for direct bookings
[This section is still evolving — more to come soon✨]
