How to Use AI to Plan Your Next Trip

Full disclosure: I'm heading to Spain in a few weeks. And before I booked a single flight or hotel, I did what I now do for every trip — I opened Claude and started a planning conversation.

AI has quietly become one of the best free travel research tools in the world. But most people either aren't using it at all or are using it wrong — typing one vague question, getting a generic answer, and deciding it wasn't helpful. The secret is layering the right tools for the right phases.

Here's exactly how to do it.

Phase 1 — Brainstorming and destination research (Claude or ChatGPT)

This is where AI genuinely shines. Instead of reading forty listicles about "best things to do in Spain," you describe your actual situation and let the AI respond to you specifically.

The prompt that works: "I'm traveling to Spain for 10 days. I'm interested in history, architecture, food, and walking neighborhoods rather than tourist traps. I'll be based in one or two cities. I'm not a beach person. What regions and cities should I prioritize and why?"

That's a real conversation — not a search query. Claude handles complex, multi-constraint questions better than almost any other tool. It will walk you through the trade-offs between Madrid, Barcelona, Seville, San Sebastián, and smaller cities like Toledo or Granada — and explain which fits your specific interests rather than just listing all of them.

Phase 2 — Building a day-by-day itinerary (Claude for structure, Mindtrip for organization)

Once you've decided where you're going, use Claude to build the actual itinerary. The key is specificity. The more context you give, the more useful the output.

A strong planning prompt: "I'll be in Seville for 4 days. I'm staying near the Santa Cruz neighborhood. I want to group activities by location each day to minimize transit. I prefer mornings for major sites and afternoons for wandering. I like local restaurants over tourist areas and prefer dinner after 9 PM. Build me a day-by-day plan."

Claude will produce a genuinely usable itinerary — grouped geographically, time-aware, and specific to your preferences. It's more nuanced than ChatGPT for complex multi-constraint itineraries.

Once you have the structure, drop it into Mindtrip — a free tool that lets you organize your itinerary visually, see everything on a map, and book flights and hotels without jumping between tabs.

Phase 3 — Logistics research (Perplexity for current information)

Claude and ChatGPT are brilliant researchers but they're not live. For logistics that change frequently — visa requirements, transport options, current entry rules, specific opening hours — use Perplexity. It pulls real-time information with cited sources you can verify.

Ask it: "What do US citizens need to enter Spain in 2026? Any current entry requirements or visa updates?" Perplexity returns current sourced answers. Always verify visa and entry requirements on official government sites regardless of what any AI tells you.

Phase 4 — Packing list and cultural prep (Claude)

Ask Claude to build a packing list specific to your trip: destination, season, activities, trip length, and whether you're doing carry-on only. It produces genuinely trip-specific lists rather than generic "don't forget your passport" advice. Also ask it for cultural norms, tipping customs, common tourist mistakes to avoid, and key phrases in the local language.

The honest rule: AI plans, humans verify.

AI is the best travel researcher you've never had to pay a salary. It is not a booking engine, a live pricing tool, or a guarantee of accuracy on specific details. Always verify opening hours, prices, and current conditions through official sites and recent reviews before you show up somewhere expecting it to be open.

Try Claude for travel planning → claude.ai
Try Mindtrip for itinerary organization → mindtrip.ai
Try Perplexity for real-time logistics → perplexity.ai

AI Is Quietly Reshaping How Americans Buy and Sell Homes

Most people know Zillow. What most people don't know is that Zillow — and dozens of companies like it — are now running AI systems that price homes, screen tenants, underwrite mortgages, and guide buyers through search in ways that didn't exist two years ago.

AI has arrived in real estate. Here's what's actually changing.

AI is now pricing your home in seconds — and it's getting accurate.

Automated Valuation Models — the AI systems that estimate property values — have improved dramatically. In 2026, median error rates on residential home valuations have fallen below 3%, compared to 10-15% just five years ago. Some systems now achieve accuracy above 96% for standard properties.

For context: a traditional appraisal takes days, costs $300-$500, and relies on one person's judgment. An AI valuation takes seconds, costs almost nothing, and analyzes 300+ market factors simultaneously — historical sales, neighborhood trends, school ratings, walkability scores, and real-time market signals.

Zillow recently launched "AI Mode" — a feature that learns your specific preferences through conversation and gives you a more personalized search experience through a direct dialogue with its Zestimate valuation system.

The warning that went viral.

In June 2026, real estate broker Ryan Serhant posted a video that got more than 3 million views about a deal that nearly collapsed because a buyer used ChatGPT to research the property value. The AI gave the buyer comparables that showed a lower value — without context, without understanding the property, and without knowing what was happening off-market in that specific neighborhood.

Serhant's verdict, which has since been widely quoted in the industry: "AI can model a market. It can't model a deal."

It's a critical distinction. AI is excellent at processing historical data and identifying patterns across thousands of properties. It cannot know what buyers are currently circling the block, what off-market deals are shaping comparable prices, or what a specific seller's motivation is. Those are human intelligence inputs — and they can swing a price by tens of thousands of dollars.

Buyers know AI is involved — and they're increasingly nervous about it.

According to a 2026 global survey from property data firm Cotality, 75% of homebuyers expect AI to be embedded somewhere in their transaction. But trust in AI has dropped significantly. Trust in AI to help find a home fell to 16% in 2026 — a 14-point drop from 2025 in a single year.

The numbers that matter: 68% of buyers say clear AI labeling for property listings and mortgage recommendations is important or essential. 46% say it is unacceptable for lenders or insurers to conduct automated AI valuations without prior approval. 44% say they would pay a human to verify AI decisions. And 64% are worried that AI systems may "recycle" unverified information.

What AI is doing right in real estate.

Away from valuations, AI is genuinely transforming the back-end of real estate in ways that benefit buyers and sellers without the controversy. Property managers are using AI for tenant screening, predictive maintenance, automated lease management, and rent collection. Investors are using AI to analyze potential deals at a speed and accuracy that wasn't possible before. Lenders are using AI to streamline mortgage underwriting, reducing the time from application to approval significantly. Morgan Stanley estimates AI could deliver roughly $34 billion in efficiency gains to the real estate industry over the next five years.

What this means if you're buying, selling, or investing right now.

Use AI tools as a starting point, not a final answer. Zillow's Zestimate is a useful data point — not a appraisal. A ChatGPT valuation gives you context — not a negotiating position. The market-level data AI produces is genuinely useful for getting oriented. The deal-level judgment still belongs to a skilled agent who knows what's happening in that specific neighborhood right now.

The AI valuation era is here. Use it — but verify everything.

I'm going to Spain in a few weeks.

It's the first real international trip I've taken in a while. And the closer it gets, the more I remember what I've always known but consistently forget when I'm deep in the routine of building something and working full-time and staying in the same twenty-mile radius for months at a stretch.

Leaving teaches you things that staying can't.

Your problems shrink when your context expands.

There's something that happens when you land somewhere that looks and sounds and smells completely different from home. The thing that felt urgent last week — the delayed software build, the missed newsletter post, the unresolved email thread — suddenly sits in a different proportion. Not because it went away. Because you're now standing in a city that existed for a thousand years before you arrived and will exist for a thousand years after you leave, and your email inbox is somewhere in the middle of all of that trying to seem important.

Perspective is hard to manufacture. Travel hands it to you for free.

You find out what you actually like.

Routine is comfortable. It's also a slow filter that gradually eliminates anything unfamiliar until your days are made entirely of known quantities. Travel breaks that filter. You eat something you'd never order at home. You walk a neighborhood with no destination. You sit in a plaza at 10 PM eating dinner because that's when people eat dinner there, and it turns out you love it.

Some of those things you discover you don't enjoy at all. That's useful too. But more often, travel hands you back a version of yourself that's slightly more alive than the version you brought with you — the one that got a little flattened by the sameness of the week.

The people are the point.

Every good travel story, when you strip it down, is about a person. The bartender in the old city who told you where locals actually eat. The stranger on the train who turned out to live two blocks from your hotel and walked you there. The family at the next table who insisted you try something off the menu.

We spend enormous amounts of mental energy optimizing itineraries and researching restaurants and reading reviews. Most of the best moments happen in between all of that, when the plan fell apart and something real showed up instead.

Go.

If you've been putting off a trip — for money, for time, for the right moment — I want to offer you the same permission I gave myself a few weeks ago when I finally booked the flights.

The right moment is a myth. The money will find a way if you decide it matters. The time will not appear on its own — you have to claim it.

The world is very large and very old and full of things you haven't seen yet. You don't need a reason to go. You just need to go.

I'll report back from Spain.

Closing Insight:

A trip planned with AI. A home market being repriced by algorithms. And a case for getting on the plane.

Three things. One reminder underneath all of them.

The tools we cover in this newsletter every week — the AI systems, the automations, the platforms, the models — they are all means to an end. They exist to give you more time, better decisions, and lower friction on the parts of life that don't require your full human attention. The goal was never to use more tools. The goal was always to have more life.

The Spain trip is the life. The AI that helped plan it is the tool. The newsletter you're reading right now is one person's attempt to make sure you know the difference.

Go use the tools. Go take the trip. Go do the thing you keep saying you'll do when the timing is better.

The timing is now. It was always now.

Conquering the future of AI — one insight at a time.

— Barca Innovations