Trip Wizard

Parallel agent trip planning

Multi-agent system using parallel processing to plan comprehensive trips.
Research, weather, activities, and food agents working together in real-time.

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🗺️ Trip Planner
Our agents work best with well-known destinations
🌍 Try these destinations:
Nordic destinations (rich data):
Other destinations (generic data):
🤖 Multi-Agent Processing
🗺️ Ready to plan your trip! Select a destination above.
How Multi-Agent Trip Planning Works
Research Agent
Gathers destination information, attractions, and cultural insights
Weather Agent
Analyzes weather conditions and provides clothing recommendations
Activity Agent
Suggests weather-aware activities and attractions
Food Agent
Recommends restaurants and local cuisine specialties
AI Trip Coordinator
Orchestrates agents and synthesizes results using OpenAI for intelligent trip planning
⚡ Parallel Processing

All agents run simultaneously using Kotlin coroutines, dramatically reducing total processing time compared to sequential execution.

🧠 AI Synthesis

OpenAI analyzes all agent data to create intelligent summaries and optimized timelines rather than simple concatenation.

🔗 Smart Coordination

Weather data influences activity suggestions, timeline creation, and cross-agent recommendations for practical results.