How recommendations are made

Rad-Dish uses AI-assisted research to identify culturally significant dishes and synthesize public information about restaurants. Automation helps compare many places consistently, but it can make mistakes.

Research process

1. Identify dishes strongly associated with a city.
2. Search public web sources for restaurants known for each dish.
3. Compare recurring evidence about flavor, value, atmosphere, and local reputation.
4. Publish only evidence-backed dish pages to search engines. Supporting links appear on each indexed recommendation page.

Limitations

Restaurant menus, addresses, prices, ratings, and opening status can change. Scores summarize available evidence; they are not first-hand inspections or guarantees. Verify important details with the restaurant and linked sources before visiting.

Editorial responsibility

Rad-Dish is responsible for the published selection and presentation. There is no paid placement. Corrections can be submitted through the contact page.