Case Study

TripTalk

AI itineraries grounded in real travel content with live flights, maps, and booking links

Built an AI travel planning platform with a RAG assistant grounded in Drew Binsky's travel content, plus Google Maps and flight-search MCP integrations for contextual itineraries with real-time flights and destination insights.

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Grounded itineraries
RAGGrounded itineraries
Destination insights
MapsDestination insights
Live pricing
FlightsLive pricing

Stack

  • Next.js
  • FastAPI
  • Supabase
  • OpenAI
  • RAG
The problem

What needed solving

Travelers needed personalized, reliable trip planning instead of piecing together itineraries from scattered blogs, maps, and flight sites.

What we built

The system

Built an AI travel planning platform with a RAG assistant grounded in Drew Binsky's travel content, plus Google Maps and flight-search MCP integrations for contextual itineraries with real-time flights and destination insights.

  • Before: Manual trip research across blogs, maps, and flight sites with generic, ungrounded suggestions
  • After: AI itineraries grounded in real travel content with live flights, maps, and booking links
View live project
More proof

Other systems we have shipped

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