How I used Claude AI to plan an entire hiking trip to the Adirondacks in 30 minutes – for free


I used Claude AI to plan a hiking trip for the summer – here's how it helped

Lance Whitney / Elyse Betters Picaro / ZDNET

Follow ZDNET: Add us as a preferred source on Google.


ZDNET’s key takeaways

  • Claude AI lets you connect to several third-party services.
  • TripAdvisor, AllTrails, and Spotify are among the newest connectors.
  • I used Claude and its connectors to plan an upcoming hiking trip.

My wife and I like to travel, and I often use AI to help me plan a trip. Usually, I simply ask the chatbot to recommend local hotels and attractions. Though I’ve typically turned to ChatGPT and Gemini for this type of planning, another AI I’ve been using more frequently is Anthropic’s Claude. To help with certain requests, Claude offers a feature called Connectors, through which you connect to and work with third-party services.

Also: I tested ChatGPT vs. Claude to see which is better – and if it’s worth switching

Introduced in July 2025, Claude Connectors started with such external services as Gmail, Slack, and Canva. Since then, the AI has added additional services, mostly ones aimed at work- and finance-related activities. But on Thursday, Claude unveiled 15 new connectors, many of them directed more toward personal tasks. These include AllTrails, Audible, Instacart, Spotify, StubHub, TripAdvisor, and Uber, among others.

Some of the new additions caught my eye, as I thought they could help with travel planning. In this case, my wife and I want to head up to the Adirondacks this summer to hike and just enjoy the area. With that in mind, I tapped into a few of the new Claude Connectors to see how they could map out our trip.

How to use Connectors in Claude

Connectors are available with all Claude plans — free and paid. You can use them at the Claude website or through any of the desktop or mobile apps.

To get started, sign in to the Claude website or one of the apps and start a new chat. Click the plus icon in the prompt, move to Connectors, and then select “Add Connector” from the menu. At the Connectors directory, you can search for a specific service, filter the list by type, or sort it by name or another attribute. Just click the plus icon for one you want to add. You’re then returned to the main chat window.

Also: Switching to Claude? Here’s how to take your ChatGPT memories with you

To use a Connector in a new chat, just write your prompt as you normally would, and Claude will try to determine which Connector to use. If that doesn’t do the trick, then include the name of the Connector in your request.

How I planned my trip with connectors

For planning my trip, I added TripAdvisor for hotels, AllTrails for hiking trails, Viator for guided tours, and Spotify to pass the time on the drive by playing our favorite music.

First, I consulted TripAdvisor for places to stay. At the prompt, I asked Claude to find hotel rooms near Mount Marcy in the Adirondacks, which is where we planned to hike. Here, the AI asked me whether I wanted to use Booking.com or TripAdvisor for assistance. I chose TripAdvisor.

Also: I used these viral Gemini prompts to find the cheapest flight possible – here are the results

In response, Claude displayed a map and details for 15 different hotels. Each entry showed me the name of the hotel, the number of stars it received, and the average price. Clicking on the name of a specific hotel gave me more details. From there, I could book a hotel room through TripAdvisor.

Claude AI's TripAdvisor Connector

Screenshot by Lance Whitney/ZDNET

Second, I started a new chat and asked Claude to find and map out hiking trails around Mount Marcy. Here, Claude automatically turned to the AllTrails Connector I had added. The response showed me the names and details on several trails in the area. Choosing a specific trail displayed a larger map and further details. From there, I could save the map directly in the AllTrails app to store it for our trip.

Claude AI's AllTrails Connector

Screenshot by Lance Whitney/ZDNET

Third, I wanted to see if there were any guided hikes or tours in the area. For this, I tapped into Viator, a tour company that my wife and I have used many times in the past. At a new chat prompt, I asked Claude to show me any guided hikes or tours in the Adirondacks, including but not limited to the Mount Marcy area.

Also: Which AI tools are actually worth paying for? I’m keeping these subscriptions in 2026 – here’s why

Claude initially looked on the web for the information but then consulted Viator. No guided tours appeared on the list based solely on Viator’s offerings. The AI then segued to local licensed guide services and came up with several choices that matched what we needed.

Claude AI's Viator Connector

Screenshot by Lance Whitney/ZDNET

Finally, I wanted to create a few playlists of songs to which we could listen on our long drive to the Adirondacks. Here, I specifically told Claude to use Spotify and asked it to create a playlist of classic rock music from the 50s, 60s, and 70s for a long car trip. After submitting the prompt, I had to link to my Spotify account by signing in.

Also: Spotify vs. YouTube Music: I tried both streaming services, and this one was the better deal

Claude then generated several playlists. From the chat screen, I could preview each playlist and add it to my Spotify library. Clicking a specific playlist took me to Spotify, where I could preview all the songs and manage the list. To fully use this feature, you do need a Spotify Premium account.

Claude AI's Spotify Connector

Screenshot by Lance Whitney/ZDNET

Why I prefer Claude AI

Claude AI and its interactive Connectors definitely helped plan and map out our upcoming trip. ChatGPT offers the same capability, with access to such apps as Booking.com, Coursera, Expedia, and Zillow. But I like the range of services available through Claude, especially for trip planning, and will use it the next time my wife and I want to get away.





Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



Source link