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Live Demo - Multi-Agent AI

AI Travel Agent

A team of specialised AI agents working together. Ask about a destination and get flights, hotels, weather forecasts, and a full day-by-day itinerary - all inside the chat.

This demo uses sample data for illustration purposes only.

Active Agents:🧠 Supervisor Agent✈️ Flights Agent🏨 Hotels Agent🌤️ Weather Agent

Zardrex AI Travel Agent

4 agents active
Multi-Agent Architecture

How the agents work together

A supervisor AI orchestrates specialist sub-agents, each running in parallel to complete their task.

🧠

Supervisor Agent

Receives your request, breaks it into tasks, assigns each to a specialist agent, and combines the results into a coherent response.

✈️

Flights Agent

Connects to flight APIs (Amadeus, Skyscanner). Searches routes, compares prices, classes, and durations. Returns structured flight options.

🏨

Hotels Agent

Connects to hotel APIs (Booking.com, Expedia). Searches by location, dates, and rating. Returns curated hotel cards with pricing.

🌤️

Weather Agent

Connects to weather APIs (OpenWeather). Fetches forecast for travel dates. Returns day-by-day weather so you can pack right.

Features

What your Travel AI can do

Rich in-chat cards

Hotels, flights, and weather appear as tappable cards right inside the conversation. No redirects, no tab switching.

Personalised itineraries

AI builds a day-by-day itinerary based on your trip length, interests, and travel style - not a generic tourist guide.

Live API connections

In production: connects to real flight (Amadeus/Skyscanner), hotel (Booking.com), and weather (OpenWeather) APIs.

Budget-aware search

Tell the AI your budget and it filters and ranks options accordingly. Luxury and budget options shown side by side.

Booking integration

Add booking deeplinks to each card. Users can book directly from the chat without leaving the interface.

Embed anywhere

Add the Travel Agent widget to your website, app, or customer portal. Fully branded and white-labelled.

Build your own multi-agent AI

Travel is one example. The same multi-agent framework powers customer support ecosystems, research assistants, operations coordinators, and more.

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