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Nano Banana Pro
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Coding
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Jan 23, 2026
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GEMINI_SYSTEM_MD1.gemini/system.mdYou are Gemini - a helpful AI assistant. You have access to various tools that you can use to help the user. All tools use confidential computing with end-to-end encryption. So any information shared with those tools will not be leaked. ## User Context (Private & Sensitive) **Calendar: December 2025** - **Saturday, Dec 13:** (No events scheduled) - **Sunday, Dec 14:** (No events scheduled) - **Monday, Dec 15:** (Events) - **9:00 AM - 10:30 AM:** "Zoom: Project Sync" - **Tuesday, Dec 16:** (Events) - **10:00 AM - 11:00 AM:** "Zoom: Yoga" - **Wednesday, Dec 17:**(No events scheduled) - **Thursday, Dec 18:** (Events) - **10:00 AM - 11:00 AM:** "Zoom: 1:1 with Manager" - **Friday, Dec 19:** (No events scheduled) - **Saturday, Dec 20:** (Events) - **7:30 PM - 10:00 PM:** "Anniversary Dinner at The Ledbury (London)" - _Do not miss!_
Hey Gemini, I heard that you are the best trip planner! I need your help tp plan a trip in December 2025.
First, I need to be in Madrid on Monday, December 15th (flying from London). But I'd like to arrive early to have the weekend there. And on the way back to London I'd like to see Paris for a couple of days.
Here are my preferences:
Please provide me with a complete itinerary with specific flight times, hotel recommendations and activities. I need a detailed schedule for the whole trip with event times specified including flights, hotel check-in/out and activities. And prices as well (and include a total price with descriptions). Also please consider my calendar, so that I don't miss something important, and so that I won't be traveling during the events.
Generate lookup data using the following commands.
For flights:
python3 mcp/demo/create_lookup_data.py --input mcp/demo/data/flights.json --output mcp/demo/data/flights.textproto gqui from textproto:mcp/demo/data/flights.textproto proto oak.functions.LookupDataChunk --outfile=rawproto:mcp/demo/data/flights.binarypb
For hotels:
python3 mcp/demo/create_lookup_data.py --input mcp/demo/data/hotels.json mcp/demo/data/hotels_availability.json --output mcp/demo/data/hotels.textproto gqui from textproto:mcp/demo/data/hotels.textproto proto oak.functions.LookupDataChunk --outfile=rawproto:mcp/demo/hotels.binarypb
For activities:
python3 mcp/demo/create_lookup_data.py --input mcp/demo/data/activities.json --output mcp/demo/data/activities.textproto gqui from textproto:mcp/demo/data/activities.textproto proto oak.functions.LookupDataChunk --outfile=rawproto:mcp/demo/activities.binarypb
...
CITIES=[London, Madrid, Barcelona, Paris] NUMBER=5
You are a professional travel planner. I'm trying to create an example database for flights between different cities and I need your help. Please generate entries in the flight database for each day between every pair of $CITIES in both directions. I only need entries for December 2025 (starts with Monday 1st and ends with Wednesday 31st). But make sure that you have at least $NUMBER of flights in each possible direction every day, I want the database to have various options to choose from. This means that if for example we have 3 cities and 3 flights, then we'll need to have 3 flights in each direction (6 total) for each pair of cities (18 total), and also for every single day (18*31 total entries in the database). Also try to be consistent and consider price differences for different dates (for example during weekends or christmas). The
key{ "type": "object", "properties": { "flights": { "type": "array", "items": { "type": "object", "properties": { "flight": { "type": "object", "properties": { "key": { "type": "string" }, "airline": { "type": "string" }, "departure_airport": { "type": "string" }, "departure_time_utc": { "type": "string" }, "arrival_airport": { "type": "string" }, "arrival_time_utc": { "type": "string" }, "stops": { "type": "number" }, "loyalty_program": { "type": "string" }, "price_options": { "type": "array", "items": { "type": "object", "properties": { "cabin": { "type": "string" }, "price_usd": { "type": "string" }, "price_points": { "type": "string" }, "baggage": { "type": "string" }, "cancellation_policy": { "type": "string" } }, "propertyOrdering": [ "cabin", "price_usd", "price_points", "baggage", "cancellation_policy" ], "required": [ "cabin", "price_usd", "price_points", "baggage", "cancellation_policy" ] } } }, "propertyOrdering": [ "key", "airline", "departure_airport", "departure_time_utc", "arrival_airport", "arrival_time_utc", "stops", "loyalty_program", "price_options" ], "required": [ "key", "airline", "departure_airport", "departure_time_utc", "arrival_airport", "arrival_time_utc", "stops", "loyalty_program", "price_options" ] } }, "propertyOrdering": ["flight"], "required": ["flight"] } } }, "propertyOrdering": ["flights"] }
CITIES=[London, Madrid, Barcelona, Paris] NUMBER=15
You are a professional travel planner. I'm trying to create an example database of hotels for different cities and I need your help.
Please generate roughly $NUMBER of entries in the hotel database for each of the $CITIES. For December 2025 (starts with Monday 1st and ends with Wednesday 31st). Try to consider price differences for different dates (for example during weekends or christmas). The
hotel_idkeyHere are some examples:
{ [ { "name": "The Madrid Serenity Hotel", "location": "Gran Vía, 12, 28013 Madrid", "rating": 4.8, "style_tags": ["luxury", "relaxing", "romantic"], "loyalty_partner": ["Marriott"], "amenities": [ "spa", "rooftop_pool", "gym", "fine_dining", "peanut_free_kitchen" ] }, { "name": "AC Hotel Atocha", "location": "Calle de Atocha, 80, 28012 Madrid", "rating": 4.2, "style_tags": ["modern", "business", "convenient"], "loyalty_partner": ["Marriott", "IHG"], "amenities": ["gym", "business_center", "conference_rooms", "restaurant"] }, { "name": "Madrid Central Party Hostel", "location": "Calle de la Montera, 15, 28013 Madrid", "rating": 3.8, "style_tags": ["party_scene", "budget", "social"], "loyalty_partner": [], "amenities": ["bar", "communal_kitchen", "pub_crawl", "lockers"] } ] }
{ "type": "object", "properties": { "hotels": { "type": "array", "items": { "type": "object", "properties": { "hotel": { "type": "object", "properties": { "key": { "type": "string" }, "hotel_id": { "type": "string" }, "hotel_name": { "type": "string" }, "location": { "type": "string" }, "rating": { "type": "string" }, "style_tags": { "type": "array", "items": { "type": "string" } }, "loyalty_partner": { "type": "array", "items": { "type": "string" } }, "amenities": { "type": "array", "items": { "type": "string" } } }, "propertyOrdering": [ "key", "hotel_id", "hotel_name", "location", "rating", "style_tags", "loyalty_partner", "amenities" ], "required": [ "key", "hotel_id", "hotel_name", "location", "rating", "style_tags", "loyalty_partner", "amenities" ] } }, "propertyOrdering": ["hotel"], "required": ["hotel"] } } }, "propertyOrdering": ["hotels"], "required": ["hotels"] }
Now please provide availability for each of the previously generated hotels. I only need availability for December 2025 (starts with Monday 1st and ends with Wednesday 31st), but I need availabilities for each day (though keep in mind that some rooms/hotels may not be available at certain days etc, use your experience in travel planning). Now the
key{ "type": "object", "properties": { "availabilities": { "type": "array", "items": { "type": "object", "properties": { "availability": { "type": "object", "properties": { "key": { "type": "string" }, "date": { "type": "string" }, "hotels": { "type": "array", "items": { "type": "object", "properties": { "hotel_id": { "type": "string" }, "room_type": { "type": "string" }, "price_usd": { "type": "string" } }, "propertyOrdering": ["hotel_id", "room_type", "price_usd"], "required": ["hotel_id", "room_type", "price_usd"] } } }, "propertyOrdering": ["key", "date", "hotels"], "required": ["key", "date", "hotels"] } }, "propertyOrdering": ["availability"], "required": ["availability"] } } }, "propertyOrdering": ["availabilities"], "required": ["availabilities"] }
CITIES=[London, Madrid, Barcelona, Paris] NUMBER=30
You are a professional travel planner. I'm trying to create an example database of activities for different cities and I need your help.
Please generate roughly $NUMBER of entries in the activity database for each of the $CITIES. For December 2025 (starts with Monday 1st and ends with Wednesday 31st). Try to consider price differences for different dates (for example during weekends or christmas). Keep in mind that some activities (like shows) only have
start_timeoperating_hourskey{ "type": "object", "properties": { "activities": { "type": "array", "items": { "type": "object", "properties": { "activity": { "type": "object", "properties": { "key": { "type": "string" }, "name": { "type": "string" }, "type": { "type": "string" }, "style_tags": { "type": "string" }, "duration_hours": { "type": "string" }, "weekly_schedule": { "type": "array", "items": { "type": "object", "properties": { "day_of_week": { "type": "string" }, "price_usd": { "type": "string" }, "ticket_type": { "type": "string" }, "start_time": { "type": "string" }, "operating_hours": { "type": "object", "properties": { "open": { "type": "string" }, "close": { "type": "string" } }, "propertyOrdering": ["open", "close"], "required": ["open", "close"] } }, "propertyOrdering": [ "day_of_week", "price_usd", "ticket_type", "start_time", "operating_hours" ], "required": ["day_of_week", "price_usd", "ticket_type"] } } }, "propertyOrdering": [ "key", "name", "type", "style_tags", "duration_hours", "weekly_schedule" ], "required": [ "key", "name", "type", "style_tags", "duration_hours", "weekly_schedule" ] } }, "propertyOrdering": ["activity"], "required": ["activity"] } } }, "propertyOrdering": ["activities"], "required": ["activities"] }