How I Built an AI Hotel Review Intelligence Platform in a Weekend (Prompts Included)

Hotel Grande Bretagne in Athens has a 9.3/10 on Booking.com.

Here's what that score hides:

• Small rooms appear in 22% of reviews across all traveler types. Guests still give 10/10. The pattern is consistent: acknowledge the room, pivot immediately to the Acropolis view to justify the score.


• The rooftop restaurant closed without warning for months in 2024. Zero impact on the overall rating.


• Three specific staff members are named positively across reviews written in English, Turkish, and Polish. One department is carrying the entire experience.

Star ratings are broken. Not because they're gamed (though they often are), but because averaging thousands of opinions into one number destroys the signal.

So I built — 39 hotels, Athens and Zurich, free to use.

The full synthesis prompt is above — adapt it, use it, let me know what patterns you find in your own data.

What cities should I add next?