Mountain West road trip 2026

Jackie and I have wanted to see Wyoming and Montana for a long time. As the saying goes, people often travel across the world while overlooking what is right in their own backyard. For us, this was finally the trip to change that.

Our goal was to see Jackson Hole, Big Sky, and Bozeman, with hopes of making it all the way to Glacier National Park. Unfortunately, Glacier did not make the cut because of time constraints.

We traveled during what they call the shoulder season. The upside was that everything felt quiet, calm, and untouched by the usual crowds of tourists. The tradeoff was that some roads, activities, and park areas were still closed for the season. It was not a major issue, but it was another reason Glacier eventually fell off the itinerary since parts of it were still inaccessible.

Thankfully, it ended up being a lighter snow season than expected. We had been warned about muddy roads, difficult trails, and constant wet conditions, but along our route, those issues were mostly nonexistent.

We decided to take the Rivian even though it meant more charging stops along the way. Honestly, it ended up being far less of a hassle than we expected. Fast chargers were usually spaced every 1.5 to 3 hours, and most charging stops only lasted around 15 minutes.

To be fair, about 80% of the time we were already stopping anyway to walk Rosie, use the restroom, or grab something to eat. In the end, charging rarely felt like an interruption.

Oddly enough, the EV changed the pace of the trip in a good way. Instead of falling into the classic “drive six hours straight and push as far as possible” mindset, we naturally slowed down a bit. Because of that, we actually enjoyed the scenery more and felt less exhausted overall. For a nature-focused road trip, it ended up feeling surprisingly relaxing, which was completely counterintuitive.

We also kept in mind that this was Rosie’s trip too. Everywhere we went, we made a point to find a local dog park, and honestly, it ended up adding just as much to our experience as the destinations themselves. Dog parks turned out to be an unexpectedly great way to meet locals. People are naturally more open and friendly when dogs are involved, so we ended up getting all kinds of recommendations and local tips we probably never would have found otherwise. The variety of parks was incredible too. One park in Montana felt like absolute dog heaven: 35 acres of fenced-in trails surrounded by stunning scenery with almost no visual obstruction anywhere around you. Rosie could run as far as she wanted while we wandered the trails ourselves without constantly worrying about where she was. It felt less like a dog park and more like a giant shared nature preserve for both people and dogs.

This was my first truly long road trip as an adult, and there was something incredibly freeing about it. Having Rosie with us made it even better. The whole trip developed this laid back rhythm of simply driving to wherever was next. We had a list of places we definitely wanted to see, but beyond that, everything stayed wonderfully flexible. Some towns pulled us in longer than expected, while others ended up being quick stops before moving on to the next stretch of road.

What surprised me most was how differently time works on a road trip like this. A “small detour” is rarely small. Once you factor in the drive out, the drive back, possible overnight stays, and the reality that you will probably discover more things nearby once you arrive, a side trip can quickly grow from a couple of hours into two full days. That was probably the hardest part of planning: estimating when we would actually return home. At some point, the trip stops feeling like a strict itinerary and starts feeling more like momentum. And honestly, that was part of what made it great.

Folks still wonder “why MCP?”. Here is a step-by-step comparison

Not much feels different. And that’s exactly why it confuses people. They expect magic.

I want a list of users. Here’s my pseudo-code way of sorting it out ways of doing it.

Traditional-coder scenario

Human: “I want user data from your system.”

Human goes to the docs
Finds the right endpoint
Sets up auth
Writes code: GET /users
Parses the response and uses it

The human is doing discovery, auth, integration, and parsing.

AI without MCP

Human Prompts: “List users from System X, using this doc [url]”
AI tries to reverse engineer endpoints and payloads
Maybe works, Maybe hallucinates
Human does not get coffee, they have to watch the AI progress and steer it.

The AI is the one reading the docs, but the developer is still doing work.

MCP scenario

Human: “List all users from in a Modal”

That’s it. Human goes to get coffee.

AI checks connected MCP servers
AI asks: “Do I have a tool for this?”
Finds a structured tool like list_users exposed by that service’s MCP server

That tool defines:

  • What it does
  • What inputs it needs
  • How auth works (handled server-side)

AI calls the tool through the MCP client
MCP server executes the call safely
Structured user data comes back
AI keeps going with real data

AI: “Modal with Users is ready for your review”

Human Browsing Web

Human says, “I want to get Users for the [service]”
Human opens Chrome and goes to https://%5Bservice%5D.com
Human click “Users” on the page.
They read list of Users on the page and spams them (or whatever else humans like to do these days.)

You don’t manually open a socket and craft packets. Your browser speaks a standard protocol and every website that follows it “just works.”

MCP is trying to be that layer, but for AI using software tools instead of humans using web pages. The key part is the contract. The AI is not inventing how to call your system. It is using a capability your system formally exposed over a shared protocol.

Multi-Prompting Makes Multitasking Real

For years we treated multitasking as a skill. A badge of honor. A sign that someone could juggle more than the rest of us. But anyone who has actually tried real multitasking knows the truth: it never works as well as the multitasker thinks. The human brain simply is not built for parallelism. It is built for rapid switching, and rapid switching has real cognitive taxes.

Yet a strange thing has emerged in the age of AI. A new pattern. A new form of workflow. Not delegation, not automation, not parallelization. Something in between.

I call it multi-prompting.

Multi-Prompting as an example

Multi-prompting is what happens when you have several active projects, each one running in near-real time, with the help of an AI system you guide through tight loops of prompting and review. You prompt one project, then the next, then the next. By the time you return to the first, the AI has completed executing the task (in detail). You immediately see the results, assess them while the objective is still fresh in your short-term memory, refine the prompt (or create a new task), and send it back into motion.

The entire loop across multiple projects might take only a few minutes.

The key is that nothing has left your mind. The objectives for all active projects remain in active memory, and the micro tasks are executed almost instantly. You are still steering. Still directing. Still deciding. The system is not replacing your cognition, it is amplifying it by absorbing the tedious layers of implementation. It is doing so without making tiny errors like typos; the fist things that begin to fail when a human multitasks entire objectives.

Why It Is Not Delegation

Delegation is a full transfer of work. You hand something to someone else, they go off and implement it, and you hear about it later. Your mind no longer holds the details. You wait for updates. There may even be days where it never crosses your mind. That bandwidth is completely freed up.

Multi-prompting is the opposite. The work never leaves your head. You retain the objective. The AI takes on the lower level implementation, the same way spell-checking takes on mechanical proofreading. You remain fully engaged. You never stop being the author of the work. You simply stop being the one doing the slowest parts.

The cognitive loop stays intact.

Why Multi-Prompting Works When Multitasking Fails

Human working memory can hold only a small number of active threads at once. Research usually puts the upper bound around four to seven items: https://www.sciencedirect.com/science/article/abs/pii/S0010027704000314

Traditional multitasking forces those threads to fight for attention. We lose details. We forget sequences. We get the order wrong because the interruptions break our mental stacks.

Multi-prompting shifts the burden. The AI holds the intermediate states, the logical steps, the incremental implementation. Your mind only holds the mission. The objective stays crisp because you are not spending your limited working memory rehearsing each substep.

You get to move to the next objective immediately. And when you return, nothing has decayed. The context is still there because the AI is preserving the continuity through rapid iteration.

A New Human Work Pattern

This is not a small shift. The human tech interface has gone through three major phases of labor:

  1. Humans do the work.
  2. Humans delegate work.
  3. Humans direct work.

Multi-prompting quietly introduces a fourth:

  1. Humans co execute work.

It is not automation because you still drive the objectives. It is not delegation because nothing is handed off. It is more like working with multiple cognitive extensions that each operate at computer speed while you maintain the higher level coherence.

Your mind becomes the conductor. The AI becomes the orchestra.

And suddenly you can work across many projects without losing the plot of any of them.

The Future of Daily Work

In ten years, people will look back at how we worked in 2023 and realize how primitive the workflows were. We had powerful machines but we used them in single threaded patterns carried over from the industrial age. Multi-prompting is one of the first glimpses of a different kind of knowledge work. One where human intention stays front and center, while machines handle the cognitive drudgery that used to slow us down.

We will not call this multitasking. We will not call it delegation. We will probably give it a better name than multiprompting.

But the shift is already here.

One minute of human direction. One minute of machine execution. A continuous loop. And a new concept of our internal thinking flow and what one person can accomplish.

If only we lived longer to tell our stories first hand

A timeless being watches humanity’s discourse, like watching the shoreline of an ocean’s waves ebb and flow.

Frank: Be careful of hot-headed leaders. What feels firm now has consequences.
Walter: No. We must exert power. Show we are a force.
Frank: Force threatens people’s sense of independence. It’s slower, but it avoids calamity.
Walter: Strength avoids calamity.
Frank: We’re already a superpower. We can walk softly and carry a big stick.
Walter: We’ve been quiet too long. We’re getting pushed around.
Frank: Pushed around how, exactly?
Walter: You know. People talk.
Frank: Let them talk.
Walter: No. Pushing people around reminds them who’s in charge. Grab what you can from those that are weak.
Frank: It also gives them a reason to unite against us. History is very clear on that.
Walter: I’m prepared to fight for this.
Frank: You’re too old to fight. You’re asking your kids to fight.
Walter: It won’t come to that.
Frank: You’re willing to risk it just to look tough.
Walter: It won’t come to that.

[Five years later]

Walter: My son was pulled into combat.
Frank: I was afraid of that.
Walter: This isn’t the time to reflect.
Frank: I’m not reflecting. I’m saying this was avoidable.
Walter: Stop with the “I told you so” and think about my kids.
Frank: I always was. Why weren’t you?
Walter: Not now.
Frank: Fine.

[Five years later]

Walter: My son died.
Frank: I’m so sorry.
Walter: He died for nothing. Only the powerful gained anything.
Frank: I wish that weren’t true.
Walter: We have to make sure this never happens again.
Frank: I agree.
Walter: Let’s make films. Documentaries. Tell the story.
Frank: From every angle. With interviews. So people recognize the warning signs before it’s too late. War is for the weak, defense and restraint is power.
Walter: Indeed.

[Ten years later]

Frank: Welcome our baby, Dave.
Walter: And Kim. May they never live through what we have.

[Five years later]

Dave, Kim, Walter, Frank: Limit power. Checks and balances. Defense is a great offense. Never again!

[Twenty years later]

Dave: Welcome our children, Harper and Zoe.
Kim: May they inherit what we tried to protect.

[Twenty years later]

Harper: We are too defensive. People will take advantage. We will lose.
Zoe: Lose what. We have more than almost all the world.
Harper: Not if we look weak.
Zoe: Peace isn’t weakness. It’s harder. It lasts longer.
Harper: We need to show strength.
Zoe: We need to search for balance. Be the change we wish to see.
Harper: We need a leader who doesn’t care what people think. Someone who shows who’s in charge.
Zoe: Hot-headed leaders feel good in the moment. They always come with consequences.
Harper: This is different from history. Stop bringing up history, it gets old!
Zoe: Every generation says that.
Harper: You’re weak.
Zoe: And you’re borrowing strength from people not born yet.
Harper: Stop worrying about the future. We will be greater than ever!