Most people spend eight hours planning a four-day trip. Almost all of those hours are tab-hopping.
You open Tripadvisor for restaurants. You jump to Reddit for honest reviews. You scroll Google Maps for neighborhoods. You check booking.com for hotels. You open three travel blogs for "hidden gems." You take notes in a Google Doc. By the time you're done, you have 30 open tabs, a half-finished doc, and a vague sense you're missing something. Then you arrive at the trip and realize you didn't book the restaurant that needed a reservation.
This is broken. The information is out there. The work of assembling it keeps falling on you. AI in 2026 is genuinely good at the assembly part. The result: same trip quality, in about 90 minutes total, spread across four prompts.
Here's the workflow.
Why tab research fails
Three reasons.
The information you need is scattered across eight different sites. Each one only knows its own slice. Tripadvisor doesn't know what's open this week. Google Maps doesn't know which restaurants take reservations. Reddit doesn't know your budget. You become the manual integration layer between all of them.
Attention switching is expensive. Every time you alt-tab, you lose 10 to 15 seconds reorienting. Multiply that by 200 tab-switches across a planning session and you've spent 30 to 50 minutes on context-switching alone, before any actual planning happens.
You only have time to be a local expert in one or two destinations. Beyond that, you're guessing. AI has read more travel content than any human ever will. Its job here is the part that doesn't require taste: synthesize the average expert opinion across thousands of sources.
The taste part still belongs to you. AI tells you the restaurant is highly rated. You decide whether to actually book it.
The 4-stage workflow
Stage 1: Narrow your destination (only if you're flexible). 5 minutes.
Stage 2: Build the local-expertise context. 15 minutes.
Stage 3: Day-by-day itinerary with energy budgeting. 20 minutes.
Stage 4: Packing list tuned to weather, activities, and your luggage size. 10 minutes.
Total: roughly 50 minutes of AI conversation, replacing what used to take a full Saturday.
Stage 1: The destination-narrowing prompt
Skip this if you already know where you're going.
"I'm planning a [length] trip in [month]. My budget is [range, ideally with high/low]. I'm traveling with [solo, partner, family of X]. I want a destination that has [3 to 5 specific qualities, e.g., walkable, great food scene, mild weather, English-friendly, low to moderate crowds]. I'm trying to avoid [3 to 5 specific things, e.g., long-haul flights, peak tourist madness, places I've been before]. Suggest 5 destinations that fit, ranked. For each, give me one reason it fits and one honest reason it might not."
The "one honest reason it might not" line is the magic part. Without it, AI gives you five "perfect" suggestions. With it, you get five honest ones, which is what you actually need to make a decision.
Pick one. Move to Stage 2.
Stage 2: The local-expertise prompt
This is where the magic happens. Most people skip this and go straight to "build me an itinerary." That's a mistake because the AI doesn't know enough about you yet to give you a good one.
"I'm visiting [city] for [length]. I'm interested in [3 to 5 specific things, e.g., street food, vintage shopping, modern architecture, neighborhood bars, museums but not the obvious ones]. I want to know what a local with my interests would actually do, not what tourists do. For each of my interests, give me: 1) the 2 neighborhoods most associated with it, 2) 3 specific spots most travel guides miss, 3) one local etiquette quirk I should know."
The "3 spots most travel guides miss" line pushes AI past the standard top-10 lists. The "one local etiquette quirk" is the thing that saves you from doing something tone-deaf without knowing.
For best results, run this prompt on Perplexity or Claude with web search enabled. Both have access to recent travel content. ChatGPT's web search works too, but Perplexity citations make verification faster.
You're not building the itinerary yet. You're collecting the raw material the itinerary will be made from.
Stage 3: The day-by-day itinerary
This is where most people start. Wrong order. After Stages 1 and 2, the AI now has enough context to actually build something for you.
"Build me a day-by-day itinerary for [length] in [city] using the spots and neighborhoods we discussed. Important constraints: 1) cluster activities by neighborhood so I'm not zigzagging across the city, 2) include one rest hour per day, I'm not 22 anymore, 3) match high-energy activities to my best time of day, which is [morning/afternoon/evening], 4) reserve at least one meal per day for unplanned wandering, no over-booking, 5) flag anything that needs a reservation or advance tickets with the booking lead time."
The energy-budgeting clauses are the underrated parts. "Cluster by neighborhood" alone saves you about two hours of unnecessary transit per trip. "One rest hour per day" prevents the over-packed trap most AI itineraries fall into. "Flag what needs a reservation" prevents the "we showed up and they were booked" disaster.
Now you have an itinerary. Read it carefully. Replace anything that doesn't feel like you. Add anything that's missing. The AI made a good starting draft. You make the final call.
Stage 4: The packing list
Easiest stage. Highest reward for time spent.
"I'm going to [city] in [month] for [length]. Likely weather: [grab from the itinerary AI or quick check]. My activities will include [list from itinerary]. I'm bringing [carry-on only / one checked bag / family of X]. Build me a packing list grouped by category (clothes, electronics, toiletries, documents, miscellaneous). For each item, tell me whether to bring it from home or buy it locally if needed. Flag anything I'm probably forgetting that travelers to this destination commonly wish they'd brought."
The "what travelers commonly wish they'd brought" line is the one that saves you on this trip. Power adapters. Specific medications. The reusable bag you'd want for laundry day three. Things you wouldn't have thought of without prompting.
The tool stack
Each stage has a slightly different AI strength.
Stage 1 (destination narrowing) works best on Claude. Its tendency to push back on impractical constraints saves you from picking a destination that doesn't actually fit what you said you wanted.
Stage 2 (local expertise) works best on Perplexity, with web search returning sourced answers about what's currently open, popular, or shutting down.
Stage 3 (itinerary) works best on Claude or ChatGPT. Claude is better at carefully respecting your constraints. ChatGPT is faster and more creative when you're flexible.
Stage 4 (packing) doesn't really matter which tool. Free ChatGPT or free Claude is enough.
If that feels like overkill, do all four stages in Claude. The quality drop is small and the friction reduction is large.
Where this still fails
A few honest limits.
AI can't book anything for you in 2026. ChatGPT and Perplexity both still hit the wall: they suggest, they don't transact. Plan to spend 30 to 60 minutes after the AI work doing the actual booking yourself.
Opening hours and prices drift. The restaurant the AI swears is open until 11 PM might have changed to a 9 PM closing last month. Use Google Maps to double-check anything time-sensitive before you commit.
AI sometimes invents restaurants. Hotelemarketer's May 2026 trip-planning report flagged this: ChatGPT is "the most willing to confidently hallucinate" of the major models. If a restaurant sounds incredible and you've never seen it mentioned anywhere else, search the name before you make a reservation. Verify before celebrating.
And the AI doesn't know yesterday's local news. A flood, a labor strike, an unannounced closure for renovation that hasn't hit the web yet, these are things you'd want to check the day before you fly. AI doesn't know any of it.
If you want the broader workflow of using AI for daily life beyond trips (the Personal Context Profile, the ten daily wins, and the 30-day plan that makes the habit stick), I just published Your AI Operating System: The Beginner's Field Guide to Letting AI Do Your Busywork on Gumroad. Volume 1 of my AI for Real Life library. Volume 10 will go deep on AI for family, travel, and home, where this trip workflow becomes one of the central deliverables. Launch price for Volume 1 is $19, and existing buyers get every future volume free as I release them.
Eight hours of tab research isn't planning. It's manual labor pretending to be planning.
AI does the labor. You make the choices.
Tags: Travel, Artificial Intelligence, AI Tools, Productivity, Workflows