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Field Notes articles
- How to Make Your Tours Bookable by AI Agents: An MCP Primer for Travel Suppliers
- The Itinerary Is a Constraint Problem
- Pacing: The Hidden Variable in Itinerary Personalization
- Getting Cited by AI Assistants: A Visibility Playbook for Independent Travel Brands
- Predicting Cancellations Before They Happen
- Draft, Don't Decide: Keeping Travel Advisors in the Loop
- Disruption Playbooks: Re-planning a Trip Before the Shuttle Leaves
- First-Party Preference Profiles Travelers Actually Trust
- Shaping Shoulder-Season Demand With Predictive Signals
- Accessible Itineraries by Design
- Low-Carbon Routing Without the Guilt Trip
- Where the Hours Go: An Anatomy of Booking Operations
- Group Trips Are Negotiations
- How We Evaluate an Itinerary Generator Before Travelers See It
- Supplier Truth: Content Mapping, Deduplication and the Data Behind Personalization
- Twelve Questions DMOs Should Ask Before Buying an AI Trip Planner
- Phantom Trails and Closed Cafés: Grounding Travel AI in Live Data
- When an AI Concierge Should Stay Quiet
- High-Desert Lessons: What Northern New Mexico Teaches About Context
- Agent-Safe Payments: Letting AI Agents Book Without Losing Control