Planning a trip used to mean twenty browser tabs, a group chat full of half-decisions, and someone (me) quietly doing hours of research at 10 PM. Now it is one conversation with AI, run in stages, and the whole thing takes about an hour spread across a week.
Here is the exact sequence. Run the prompts in order and by the end you have a booked trip with a day-by-day plan.
Stage 1: Decide where (15 minutes)
Start wide, with your real constraints:
Help us pick a vacation spot. Here's the situation: [when you can go],
[budget range], [who's going, with ages], [what you're craving: beach,
city, nature, food], and [what we want to avoid]. Give me five options
with a one-line case for each, then your top pick and why.React to the list like you would with a friend. “Too hot.” “Been there.” “Tell me more about the third one.” Three exchanges in, you have a destination you are actually excited about.
Stage 2: Budget reality check (10 minutes)
Before anyone falls in love with a plan the wallet hates:
We're going to [place] for [dates], [number of people]. Build a realistic
total budget at three levels: keep-it-cheap, comfortable, and treat-
ourselves. Break each into flights, lodging, food, activities, and the
stuff people forget (transit, parking, tips, checked bags).That “stuff people forget” line has saved me from more budget surprises than any spreadsheet ever did.
Stage 3: Check the weather before you plan around it
Use a tool with live web search here (Perplexity or ChatGPT/Claude with search on), since this is exactly the time-sensitive stuff a model cannot just know:
What's the typical weather in [place] during [dates]? Give me the
realistic range (not just the average), the chance of rain, and
anything seasonal I should plan around (heat, humidity, monsoon
season, ski conditions, whatever applies). Flag which of my planned
days are most weather-dependent and suggest an indoor backup for each.This is the piece people skip and then get surprised by. Knowing the weather before you build the day-by-day means you can plan the outdoor anchor for the clear day and the museum for the one with rain in the forecast, instead of finding out the hard way.
Stage 4: The daily plan (20 minutes)
This is where AI really earns it:
Build a day-by-day plan for [place], [dates]. Rules: one anchor activity
per day, not three. Mornings out, afternoons flexible. [Any must-dos or
must-eats]. [Travel party needs: nap windows, mobility, picky eaters.]
Factor in the weather pattern above: outdoor anchors on the clearer
days, indoor backups on the rest. For anything time-sensitive like
hours or tickets, note what I should verify before booking.One anchor per day is the rule that makes vacations feel like vacations. The AI will happily overstuff your itinerary if you let it. Do not let it.
Stage 5: Book it, then let AI sweat the details
Do the actual booking yourself, it is the quick part. Then hand the last mile back:
- Packing list: “We’re going to [place] for [days] with [people]. Build a packing list by person, using the weather range from earlier so it’s not just generic warm-weather or cold-weather guesses. Flag what we should buy before we go.”
- The confirmation dump: paste your confirmations and ask for one clean itinerary with times, addresses, and confirmation numbers.
- The what-if: “What usually goes wrong on this kind of trip, and what’s the two-minute prevention for each?”
The honest part
AI does not know your family. It does not know that everyone melts down without lunch by noon, or that “relaxing vacation” means one specific person still wants a plan. So tell it. The constraints are the magic. The more honest you are about how your crew actually travels, the more the plan feels like someone who knows you built it.
The mental load of a trip is real, and it lands unevenly. This is how you hand most of it off and keep the fun part: being there.