NomadIQ demo
Plan what to do once you are there
Build a per-city plan that respects arrival times, opening hours and how far things actually are.
The challenge
Destination plans ignore geography and hours, producing days that cannot physically happen.
The scenario
Two days in a city, arriving late on the first, wanting a plan that survives contact with a map.
What goes in
- City and dates
- Where and when, including arrival and departure times.
- Interests
- What you actually want from the visit.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Plan two days here, arriving late on the first.”
- “Group these by neighbourhood.”
- “What is open on a Monday?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Take real timings
SourceUse actual arrival and departure, not whole days.
Group by geography
AI-inferredCluster activity so travel time is not wasted.
Respect opening hours
ObservedBuild the plan against when things are actually open.
What you get
The shape of what comes back — not a promised result.
Day plans
Per-day plans grouped geographically and checked against hours.
Why it matters
- Plans that are possible
- Geography and hours are constraints, not afterthoughts.
Related demos
NomadIQ
Build a multi-city itinerary as one plan
Plan connected legs where a change to one shows its effect on all the others.
3 minute walkthrough
- Forecasting
- Personalised Discovery
NomadIQ
Watch the routes your plan depends on
Monitor price and availability on planned routes and be told when something changes.
2 minute walkthrough
- Change Detection
- Forecasting
Career Catalyst
Match a resume to opportunities, explainably
See which requirements you meet, partly meet and miss — not just a percentage.
3 minute walkthrough
- Document Intelligence
- Evidence Trail
- Confidence Ceilings
Want to try this with your own work?
Open NomadIQ and bring your own data. No signup is needed to read these demos.