Everything AI in Travel

Egor Karpovich built 12 AI agents in 5 weeks…
…and now they’re running parts of his travel company without sleeping.
In this episode of the Everything AI & Travel Podcast, I sit down with Egor Karpovich from Travel Code to unpack one of the most fascinating AI setups I’ve seen in travel so far.
Egor explains how he and his team went from no-code workflows to a real agent workforce inside their bootstrapped corporate travel SaaS business — including:
A lead agent coordinating the others
Legal, partnerships, sales, SEO, PR, analyst, and dev agents
Agents creating tasks for other agents
MCP servers, APIs, browser tools, and shared memory
How his team now works with agents day to day
We also get into:
Why Eastern Europe’s travel distribution model is so different
Why they pivoted away from travel agents and into corporate travel
What building a $9M GMV travel business without outside funding actually looks like
Why Egor thinks solo founders with 50 AI agents are coming sooner than people expect
If you want to understand what “agentic travel” actually looks like in the real world — not just in demos — this is the episode.
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If looking for the Videreo information, you can find it here: https://gamma.app/docs/Creator-Marketing-gets-measured-in-Palau-oicfv54zvjq0ckb?mode=doc

In this episode of Everything AI & Travel, I sit down with Robert Cole (Rock Cheetah) — Cornell hotel grad, ex-Four Seasons marketing leader, Sabre/Travelocity-era hotel distribution veteran, and a longtime Phocuswright analyst.
We get practical on what “AI readiness” really means for travel businesses:
Why digital identity becomes the foundation for the agentic world
The difference between traveler identity vs hospitality entity identity (hotel ≠ just a building…)
Why “standards” are hard in travel (and why the tech world solved this decades ago)
How Robert uses Claude / Gemini / OpenAI (and his “reasoning gauntlet” to rip drafts apart)
What small operators should do now (security, schema, sources of truth…) before agents arrive
If you’re a hotelier, tour operator, DMO, or travel tech builder trying to understand what’s coming next — this is one to save.
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💬 Comment: what’s your biggest worry about agents + trust?

John Lyotier is back — and we go deep on the .BOT future.
AI has moved from “tools” to agents, and John’s building at the sharp end: hundreds of AI-built travel brands, an agentic network underneath, and now a big bet on .bot domains (trip.bot, hotels.bot, ski.bot…).
We talk:

Why .bot could become the identity layer for agent-to-agent commerce
What “agentic search” means for travel distribution
GEO/AEO: what’s real, what’s hype
Marriott + Google’s AI selling moves — threat or opportunity?
The coming “return to real” in travel: tech scaffolding, human soul

 Subscribe for more AI x Travel builders & operators.To get your hands on your free trial of Videreo, check out our most recent case study with details on the free trial here.

This week I’m joined by Jason Bryant, VP Strategy (Consumer Applications) at Oracle and founder/former CEO of Nor1.
We talk about:
How Nor1 started (perishable inventory + willingness-to-pay for upgrades)

What changes when a startup gets absorbed into a Fortune 500 (risk profile, security standards, speed)

Why the next phase of AI in hospitality is orchestration, not “the next best model”

Why unified data platforms are a prerequisite for personalization

The real reason “AI pilots fail”: not tech, but execution, workflow design, and measuring P&L impact

If you’re in hotels, travel tech, or building AI products, this is a practical conversation about what actually works in 2026.
See the Videreo case study and start your free trial here: https://gamma.app/docs/Creator-Marketing-gets-measured-in-Palau-oicfv54zvjq0ckb

Welcome to 2026 and the first episode of the year on Everything AI in Travel.
As tradition now, I’m joined by returning guest Christian Watts to do something most people avoid: we revisit our predictions from last year and grade them.
Christian ran our 2025 predictions through an AI scoring system (he swears he didn’t rig it), and we go point-by-point on what actually happened:
Search changed, but Google didn’t die

LLMs reshaped how people plan (even if they still “Google” quick stuff)

“Agentic AI” became the buzzword, but real-world booking is still messy

OTAs didn’t collapse, but the “dumb pipes” conversation got loud

Authenticity vs AI-generated content became a cultural fault line

And yes, we argue about whether AI is already mainstream… or just mainstream in our bubbles

We also get into the uncomfortable part: which predictions were genuinely wrong, and what that tells us about forecasting in a year where the platform shifts don’t slow down.
If you want the written predictions, watch on YouTube where they’re on-screen.