Restaurants & food on trips: 8 real cases
Finding and booking places to eat while travelling.
Turn booked appointments into a realistic Washington DC itinerary with restaurants using Grok
Ahead of a trip to DC, a poster gave Grok the appointments already set, the hotel locations and the remaining sights the group wanted to see. The poster says it produced an itinerary and, when prompted again, restaurants near the must-do stops to save searching once there, and called the result incredible.
TravelRestaurantsGrokWorkedRecreated promptEvidence: Described by posterView CaseBook every restaurant for a Japan trip with Muse
Muse booked every restaurant for the poster's Japan trip and corresponded in Japanese with a Hakone hotel to secure a dinner slot not offered on its website.
TravelRestaurantsMuseWorkedRecreated promptEvidence: Described by posterView CasePlan a food-focused trip on a fixed budget with Gemini
Android Police's Akshay Bhalla gave Gemini a Rs 1,00,000 budget for a September trip to North Goa with flights and stays already booked, and a cap of Rs 3,000–4,000 per meal. They say Gemini used Google Maps to suggest restaurants and activities in their favourite neighbourhoods, mapped routes and best visiting times, and found hidden gems and beach shacks after they refined the prompt.
TravelRestaurantsGeminiWorkedEvidence: Article or interviewView CaseGet restaurant and transport tips on a Hong Kong family trip with Grok
On a 6-day family trip to Hong Kong and Macau, the PickEnough author checked AI travel advice against reality. ChatGPT and Claude were blocked by regional restrictions; of the tools that worked (Grok, Gemini and Perplexity), the author rated Grok the most accurate overall (7.2/10), with correct real-time navigation and local restaurant picks. Asked what was good to eat within 5 minutes while walking the Mid-Levels, Grok suggested a nearby egg-tart shop the author rated 4/5. Across the tools, transport predictions were within 10%, but restaurant cost estimates assumed 2 people even though the group was 4.
TravelRestaurantsGrokWorkedImproved promptEvidence: Article or interviewView CaseSave 20 restaurants from an article to a Google Maps list with Atlas
ChatGPT Atlas agent picked 20 restaurants from an article and added them to a new saved-places list in the poster's Google Maps account; the poster called it slow but an excellent result.
TravelRestaurantsChatGPT Atlas agent modeWorkedRecreated promptEvidence: Screenshots or logsBeginner-friendlyView CasePlan a points-funded family holiday and book dinner with ChatGPT agent (partial)
For a points-funded family holiday plan, ChatGPT agent built a decent deck but spent 15 minutes formatting slides; it couldn't book the romantic dinner.
TravelRestaurantsChatGPT agentPartialImproved promptEvidence: Described by posterView CaseBuild a saved Google Maps list of a city's best restaurants with ChatGPT agent
Frank Andrade asked ChatGPT agent to find the best restaurants in the city they were about to visit and save them as a new Google Maps list with notes on signature dishes. It picked 10 restaurants, collected their signature dishes, paused for them to enter their Google login, then created and saved the list with notes; it took about 23 minutes.
TravelRestaurantsChatGPT agentWorkedRecreated promptEvidence: Shown on videoView CasePlan St. Simons Island restaurants with ChatGPT agent
ChatGPT agent mode produced a dining guide for a 4-day St. Simons Island trip organized by meal and price, and the author ate at 4 restaurants from the list and liked them all.
TravelRestaurantsChatGPT agentWorkedEvidence: Article or interviewBeginner-friendlyView Case
