A real trip, not a demo
The itinerary was not the hard part of our Costa Rica trip
We already had good ideas for Costa Rica. The value came from pulling confirmations, kid energy, transfer timing, weather pivots, and two very different phases of the trip into one plan that could survive contact with reality.
Based on our real 2026 Costa Rica family trip. Reservation numbers, addresses, contacts, and other private booking details are intentionally omitted.
Watch the walkthrough · 4:34
How AI helped plan our Costa Rica family trip
See how AI helped shape a real family trip, bring confirmations together, and check the handoffs between plans.
Read the key points
- Katie brought strong ideas and an itinerary. AI helped shape the pace and organize the details; the family made the decisions.
- The trip combined adventure around La Fortuna and Arenal with a resort stay and family celebration in Guanacaste. One main activity per day left room for rest.
- Separate confirmed bookings, optional ideas and open questions. A rental-car return also needs time for inspection, a shuttle to the terminal and finding the transfer representative.
- Keep alternatives for rain or tired people. Remove sensitive identifiers before sharing confirmations with AI, and verify times, availability and meeting instructions with the original source.
We did not need AI to tell us Costa Rica was beautiful
Our family trip had two very different halves: adventure around La Fortuna and Arenal first, then a resort stretch in Guanacaste tied to a family celebration. My wife already had a strong itinerary and good instincts about what we wanted to do.
That distinction matters. The useful AI job was not “plan Costa Rica for me.” We already had preferences, reservations, people with different energy levels, and fixed events. The useful job was to make all of those things agree with each other.
That is a much less glamorous prompt, and it saved us from the parts of travel planning that actually create stress.
The hard parts lived between the fun parts
Flights are easy to notice. Ziplining is easy to remember. A beautiful hotel does not disappear from your brain. The fragile pieces were the handoffs: airport to rental car, activity to drive time, checkout to car return, car return to a resort transfer, and a long travel day with kids when everybody's patience has a limit.
When I pulled the confirmation emails and our notes into one conversation, I asked AI to separate confirmed facts from ideas and then audit the transitions. One of the useful catches was that our planned rental-car return and resort transfer were too close for comfort once you accounted for vehicle inspection, the shuttle back to the terminal, and finding the transfer representative.
That did not require artificial intelligence to invent a new vacation. It required the assistant to notice that two facts from different documents created one operational problem.
The part itineraries usually hide
Two valid bookings can still produce a bad travel day if the handoff between them is weak.The reservation itself can be perfectly valid.
This is where an otherwise-good plan can quietly break.
The next reservation can also be valid and still be hard to reach.
This is the planning pattern to audit; it is not a claim that this exact failure happened on the trip in the Story.
From our real trip plan
The planning philosophy got simpler as the document got smarter
- Phase 1: adventure around La Fortuna / Arenal.
- Phase 2: resort and family celebration in Guanacaste.
- One real anchor activity per day; do not fill every open hour.
- Protect transition days and audit the handoffs, not just the attractions.
- Use pool, hot springs, food, or downtime as weather/energy pivots.
Stop asking only “what should we do?” Ask “what has to happen between the things we already decided?”
We started planning for kid energy and weather like they were real constraints
The plan got better when we stopped treating every open hour as an invitation to add another attraction. Our working philosophy became one real anchor activity per day, then food, pool, hot springs, a swim, or downtime depending on weather and the kids.
July around La Fortuna can be wet. So instead of pretending the itinerary was deterministic, we protected the outdoor mornings and treated hot springs, food, and easier activities as pivots. If an arrival-day stop made the drive too late, the plan explicitly said to skip it.
That made the AI output feel less like a travel blog and more like a decision aid for the family we actually had with us.
One source of truth beat another pile of suggestions
The final control document combined the broad trip shape, the reservation dashboard, important contacts and meeting points, driving and packing reminders, kid-specific logistics, and a short list of things that still needed verification.
Some of the best lines were boring: download offline maps, keep swimsuits accessible on arrival day, leave margin before the car return, confirm a transfer, do not stack a second giant excursion onto the zipline day.
That boring layer is exactly where I felt the value. We could stop reopening five emails and trying to remember which detail belonged to which day.
The method matters more than Costa Rica
Nothing about this approach depends on volcanoes or hot springs. A big family trip becomes difficult whenever confirmations, people, transitions, fixed events, local conditions, and different priorities start interacting.
The reusable method is: shape the trip around the people, consolidate the facts, audit the handoffs, keep uncertain details visibly uncertain, and build in pivots instead of pretending every day will go exactly as planned.
Then, when you get home with hundreds of photos, the same trip context can help turn the pile into something worth keeping instead of one more camera roll you never revisit.
Work through the whole problem
Planning something with enough moving parts to need a control plan?
The big-family-trip Workflow separates shaping the trip, controlling the bookings and handoffs, and turning the memories into something afterward.