NomadIQ demo
Build a multi-city itinerary as one plan
Plan connected legs where a change to one shows its effect on all the others.
The challenge
Multi-city trips are booked leg by leg, so one change quietly invalidates everything after it.
The scenario
Three cities in ten days, where the second leg is the one most likely to move.
What goes in
- Cities and dates
- Where you are going and roughly when.
- Priorities
- Cost, time or comfort, and what is fixed.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Plan three cities in ten days with the least flying.”
- “What breaks if the first flight moves a day?”
- “Which leg is riskiest?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Take the constraints
SourceRecord what is fixed and what can move.
Build connected legs
AI-inferredAssemble the trip so dependencies between legs are explicit.
Show the trade-offs
EstimatePresent cost, time and connection risk as a choice.
What you get
The shape of what comes back — not a promised result.
Connected itinerary
EstimateLegs with dependencies, and what each change would affect.
Why it matters
- Consequences visible
- A moved leg shows what else it breaks.
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Want to try this with your own work?
Open NomadIQ and bring your own data. No signup is needed to read these demos.