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The Day We Killed the Date Picker
What if the AI moment in travel is less about building a better OTA, and more about making the OTA unnecessary? Christopher Olivares traces his path from OECD policy analyst to solo founder of Elyo — a conversational travel assistant that ditches date pickers, commissions, and intermediaries in favour of decomposing what a traveller actually wants.
Show Notes
Christopher Olivares is the solo founder of Elyo (elyo.io), a conversational AI travel assistant that helps travellers find the cheapest flights across flexible destinations and dates with no commissions, intermediaries, or date pickers. Before launching Elyo, Christopher spent four and a half years at the OECD in Paris working on internal ethics, education policy, and international statistical indicators, and is currently completing an executive master's in statistics and artificial intelligence at Université Paris Dauphine. The conversation traces his path from policy analyst and serial expat to vibe-coded solopreneur, and explores how generative AI unlocked both the product idea and the ability to build it without a technical background. Highlights include why Elyo is built around decomposing traveller intent — cheapest meeting point, most flexible weekend, best-value destination — rather than the rigid inputs legacy search UIs require; how OTA commissions get reflected in prices that travellers absorb without seeing; why a freemium subscription is structurally important as a trust mechanism that keeps the traveller's interest as the unconditional north star; how at least one major GDS has closed its developer portal, raising barriers for early-stage builders trying to validate ideas; the seller-of-record problem that pushes white-label distribution liability onto startups; why AI can deliver the personalisation of the pre-internet travel agent era alongside the price transparency of metasearch without the commission layer; and the underserved corporate travel use case of remote teams trying to work out where to rendezvous.
Click to expand the full episode transcript (6,876 words approx.)
Use cases discussed
Aviation AI use cases from our catalogue that this conversation touches on.
Utilize optimization algorithms to suggest the most cost-effective flight options based on customer preferences.
Elyo's core function: decompose traveller intent and optimise across flexible dates/destinations to find cheapest flights, including multi-origin cheapest meeting-point calculations.
Read use caseEmploy natural language processing to understand customer preferences and provide personalized recommendations
Christopher explicitly describes using LLMs to convert messy human travel intent into executable searches, replacing rigid date-picker UIs with conversational NLP.
Read use caseUtilize data visualization techniques to present complex travel data in an intuitive and easily understandable format
Christopher explicitly contrasts text-only flight results from ChatGPT/Claude with Elyo's rich visual comparison interfaces for choosing destinations and flights.
Read use caseEmploy optimization algorithms to suggest the most cost-effective and convenient flight itineraries for corporate clients based on their travel patterns and preferences.
Remote-team rendezvous use case explicitly discussed: finding cheapest city for distributed colleagues to meet, with flexible dates, directly matches corporate itinerary optimisation.
Read use caseImplement chatbots powered by conversational AI to assist customers with booking and reservation inquiries.
Elyo is explicitly a conversational AI assistant replacing legacy OTA date-picker search with chat-based flight discovery and redirection to direct airline booking.
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About the Travel Tech Podcast
Hosted by Alex Brooker, founder of Airside Labs, the Travel Tech Podcast features authentic long-form conversations with leaders, innovators, and startup founders shaping the future of aviation and travel technology. No scripts, no sponsors, no sales pitches — just real conversations about building technology that matters.