Working prototype · not a case study
Smart itineraries
rules assemble the trip.
A working slice of the itinerary-automation case study: set a trip, and a small deterministic engine assembles it from real Chiang Mai places — from my own trips there. Same principle as Baki: rules decide, design presents. Every stop is annotated with the rule that placed it, so the thinking ships with the output.
Days
Pace
Interests
3 days · 3 stops a day · tuned for culture, food
Day 1
Old City- morning
Wat Phra Singh
Lanna architecture at its most golden; the murals repay slow looking.
picked for your culture interest
- afternoon
Lanna Folklife Museum
Cool, quiet and beautifully curated — the context behind everything you'll see.
picked for your culture interest
- evening
Ping riverside dinner
Tables over the water, lamps in the trees. The slow ending a day deserves.
swapped in — one proper meal a day is a house rule
Day 2
West foothills- morning
Wat Pha Lat jungle trail
The monks' old walking path up the mountain — forest, streams, a hidden temple.
picked for your culture interest
- afternoon
Baan Kang Wat artist village
Studios, kilns and slow coffee in a wooden hamlet. Buy the ceramics.
picked for your food interest
- evening
Ploen Ruedee night market
Street food in a string-lit yard — graze wide, commit late.
worth crossing town for — nothing in-zone fit this slot
Day 3
Riverside- morning
Warorot Market
The locals' market: chilli pastes, sai ua sausage, fabric by the metre.
picked for your food interest
- afternoon
Farm cooking class
Pick it, pound it, cook it, eat it — the curry paste you make yourself.
worth crossing town for — nothing in-zone fit this slot
- evening
Dinner + live music in Nimman
Northern Thai plates, then whatever the band feels like. Low effort, high reward.
worth crossing town for — nothing in-zone fit this slot
Why it works
One zone per day. The engine clusters each day inside one part of town, so the trip never criss-crosses the city. When it does borrow across zones, it tells you.
A slot grammar. Morning, afternoon, evening each accept different kinds of places — temples at sunrise, markets at night. Structure first; content fills it.
One proper meal a day. A house rule the traveller can't turn off. Opinionated defaults are a product decision — the same instinct as Baki's health guardrails.
Interests re-rank, never filter. Your interests boost matching places instead of hiding the rest, so a two-day trip still gets the city's essentials.
This prototype runs entirely in your browser on a static, tagged dataset — every place is real and from my own trips. A production version would sit on live data (opening hours, seasonality, bookings) and use AI only where it belongs here too: writing the words, never choosing the plan.