Planning a Trip with an AI Desktop Agent - Flights, Hotels, Itinerary, and Email in One Command
Planning a Trip with an AI Desktop Agent
Here is a task that sounds like a demo but actually works: tell your AI agent to research flights and hotels for a trip, draft the itinerary in a Google Doc, and email it to someone. One sentence. Multiple apps. Real results.
How It Works
You say: "Research flights and hotels for a 5-day trip to Japan next month, draft the itinerary in a Google Doc, and email it to my wife."
The agent:
- Opens your browser and searches for flights
- Compares options across multiple sites
- Searches for hotels near the destinations
- Opens Google Docs and creates a new document
- Drafts a structured itinerary with dates, prices, and links
- Opens Gmail and sends the doc to your wife
This is not five separate prompts. It is one instruction that spans four applications.
Why This Is the Killer Use Case
Travel planning is the perfect example of a task that is:
- Multi-app by nature - browser, docs, email, calendar
- Time-consuming - easily 30-60 minutes of manual research and formatting
- Repetitive in structure - every trip follows the same research-plan-share pattern
- Low stakes for mistakes - a wrong hotel suggestion is not catastrophic
These characteristics make it ideal for desktop agent automation. The agent does the mechanical work (searching, comparing, formatting, sending) while you make the actual decisions (which flight, which hotel, which dates).
The Desktop Agent Advantage
A chatbot can research and suggest. But it cannot open Google Docs, create the document, format it, and email it. That requires controlling actual applications on your computer.
This is where a desktop agent shines. It operates at the application level, using each app through its normal interface. No API integrations needed. No plugins. Just an agent that uses your computer the same way you do.
Fazm handles multi-app workflows like travel planning natively on macOS. Open source on GitHub. Discussed in r/claude.