User Journeys, Flow Diagrams & Information Architecture
Odysee Personal AI Travel Concierge · David Castiel · HIT M.Design 2026
01
User Personas
Three representative personas defining the range of Odysee users - from experience-seeker to adventure lover to business traveler.
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Maya, 31
The Experience Seeker
Background
UX Designer, Tel Aviv. Travels 4-5 times a year, mostly solo. Values authentic local experiences over tourist traps. Tech-savvy but hates complexity in travel planning.
Goals
• Discover hidden gems beyond guidebooks • Minimal planning effort, maximum experience • Connect with local culture & food
Pain Points
• Overwhelmed by too many options • Doesn't trust generic recommendations • Hates rebooking when plans change
Odysee Value
AGT-01 builds her taste profile in minutes. AGT-02 surfaces local gems tailored to her style. AGT-05 auto-adjusts her schedule on disruptions.
SoloCultureFoodMid Budget
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Daniel, 26
The Adventure Traveler
Background
Freelance photographer, always on the move. Prioritizes off-the-beaten-path destinations, outdoor activities, and budget efficiency. Plans last-minute, often changes plans mid-trip.
Goals
• Flexibility to change plans on the fly • Find untouched, photogenic locations • Stretch every dollar of his budget
Pain Points
• Rigid bookings that can't be changed • Language barriers in remote areas • Missing the best photo spots & timing
Odysee Value
AGT-04 monitors his location for off-path suggestions. AGT-06 bridges language gaps in real time. AGT-05 re-routes instantly when weather changes.
SoloAdventurePhotographyLow Budget
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Noa, 42
The Business Traveler
Background
VP Product at a startup, travels 2-3 times a month for work. Has loyalty memberships everywhere. Occasionally extends business trips for personal leisure. Time is her scarcest resource.
Goals
• Zero-friction bookings & disruption handling • Maximize loyalty points on every trip • Seamlessly blend work & leisure time
Pain Points
• Flight disruptions ruin tight schedules • Loyalty points expire or go unused • No time to research leisure add-ons
Odysee Value
AGT-09 optimizes her loyalty across programs. AGT-05 auto-rebooking on disruptions. AGT-11 proactively suggests the perfect bleisure add-on.
BusinessBleisureLoyaltyHigh Budget
Maya - Experience Seeker
Daniel - Adventure Traveler
Noa - Business Traveler
Trip frequency
4-5× / year
8-10× / year
24-30× / year
Planning style
Researches a lot
Last-minute, flexible
Delegated / automated
Budget
$1,500-$3,000
$500-$1,200
$3,000-$8,000
Primary device
Mobile + web
Mobile only
Mobile + voice
Key agents
AGT-01, 02, 06
AGT-04, 05, 06
AGT-03, 05, 09, 11
Retention driver
Personalized discovery
Flexibility & language
Loyalty optimization
02
User Journey Map - Traveler Using Odysee
The journey map follows a traveler from the moment they consider a trip through their return home, including emotions, touchpoints, and which agent is active at each stage.
Two ways to look at the journey. The architecture organizes 11 agents into four stages (before-trip / in-trip / post-trip / long-term). The user experience unfolds across six experiential phases - because "before-trip" splits into three distinct moments for the traveler: discovery, planning, and booking. Both models describe the same system at different layers.
Before / During Trip Agents
Planning Agents
Post-Trip / Long-Term Agents
Continuous Feedback Loop
03
Conversation Flow - User ↔ Tico
How a typical conversation unfolds between the user and Odysee's core agent, from opening to itinerary confirmation.
04
Agent-to-Agent Communication Flow
How the Orchestrator activates and coordinates agents, what data flows between them, and the logical order of activation.
Primary data flow
Agent activation
Post-trip / async
Deferred / background
05
Information Architecture - System Data Structure
The complete data structure of Odysee: user profile, itinerary, memories, feedback, and trip history.