How Notion's AI Pivot Mirrors a Camper's Trail Reset

The Trail Reset

Every hiker knows the feeling. You've been walking for hours, the path is clear, the sun is out, and then—boom—a fallen tree blocks the way. You can climb over it, or you can find a new path. Notion, the productivity app, faced a similar moment. Twice.

Founder Ivan Zhao didn't just add a feature or two. He rebuilt the company from the ground up. For anyone who loves the outdoors, this is a familiar story. It's the camp reset, the trail reroute, the decision to pack up and move to a better spot.

First Reset: Kyoto and the Simple Camp

Notion's early years were rough. No product-market fit, money running out. Zhao and his co-founder made a radical choice: fire everyone, leave San Francisco, and move to Kyoto. They rented out their apartments and offices, making the company cash-flow positive for the first time.

In Kyoto, life was simple. Code, eat, repeat. No meetings, no distractions. Just the core question: what problem are we really solving? It's like a camper who realizes the campsite is too crowded and noisy. They pack up, find a quieter spot, and rediscover why they love camping in the first place.

Zhao didn't start a new company. He stripped away the unnecessary and focused on building a tool that people genuinely need. That's the essence of a good reset.

Second Reset: The GPT-4 Storm

Fast forward to 2023. Notion is a success—hundreds of employees, huge user base, high valuation. The natural move would be to keep adding features, hire more salespeople, and optimize the existing playbook. But then GPT-4 arrived.

Zhao got early access and realized this wasn't just another trend. It was a fundamental shift in how knowledge work happens. For an outdoor enthusiast, it's like discovering a new trail that cuts through the mountain you've been circling for years. You can't ignore it.

Notion had already launched an AI writing feature before ChatGPT, but Zhao wanted more. He wanted agents that could understand context, search information, and execute tasks. The path wasn't easy. They experimented with models, fine-tuned, and struggled for about a year and a half. It was painful.

This is where the camping analogy really fits. Traditional software development is like building a bridge—you know the specs, you have the materials, and you build it. But AI products are like making a campfire in the rain. You can't just command the wood to burn. You have to experiment, adapt, and work with what the model gives you.

From Toolbox to AI Workspace

Notion's original strength was letting users build their own systems. Unlike traditional office software with fixed functions, Notion was like a set of building blocks. Users could combine pages, databases, tasks, and docs into their own workflows.

AI made this foundation even more valuable. AI needs context—documents, tasks, meeting notes, project history. Notion had all that. So the company pivoted from a toolbox to an AI workspace. Features like Enterprise Search, AI Meeting Notes, and Notion Agents are about three things: finding knowledge, structuring communication, and automating repetitive work.

Imagine you're on a group camping trip. The old way: you ask around, dig through backpacks, and search for the map. The new way: an AI assistant knows where everything is, summarizes the plan, and even updates the itinerary. That's what Notion is aiming for.

Organizing Like a Jazz Band

Zhao describes the ideal organization as a jazz band, not a marching band. A marching band follows a fixed score, each member in their designated spot. A jazz band has structure but allows improvisation and response to each other.

This isn't about eliminating hierarchy—Zhao believes hierarchy is human nature. It's about being flexible and distributed. In the AI era, market changes happen weekly, not quarterly. You can't lock down a six-month product roadmap. Financial planning is still crucial, but product strategy must be agile.

For outdoor recreation, this translates to a group hike. You have a plan, but if the trail is blocked or the weather changes, you adapt. The group stays together, communicates, and finds a new route. That's the jazz band approach.

Hiring for Taste and Initiative

Notion's hiring criteria have changed. With AI leveling basic skills, the scarcity now lies in taste and initiative. Taste means knowing what good looks like and why. Initiative means being willing to try things without waiting for permission.

Notion now asks candidates to build something with Notion and share a link, rather than just talk about past experience. They want to see how you use tools to solve problems. It's like asking a camper to set up a tent in 10 minutes, rather than just asking if they've camped before.

The engineering team is structured like a barbell: a few senior architects on one end, and young, energetic engineers on the other. Senior engineers provide direction and technical taste, while junior engineers execute with AI tools. This trains the next generation while leveraging the wisdom of the veterans.

Marketing Split: Storytelling and Sales Support

Notion even split its marketing department. Traditional marketing with a CMO and various functions couldn't keep up with the product's speed. So they divided it into two parts: storytelling (product narrative, content, community) and demand generation (leads, growth, sales support).

Storytelling stays close to the product because the product changes so fast. Demand generation works with the sales team. This is like a campground splitting its team into those who maintain the trails and those who manage reservations. Both are essential, but they need different skills and proximity.

Notion also learned that enterprise sales can't be reinvented. Customers still want to talk to a human, especially for expensive, complex products. So they respect the traditional sales process, even as they innovate elsewhere.

AI Is More Than Cost-Cutting

Many companies see AI as a way to reduce costs and increase output. Notion cares about efficiency, but the bigger goal is to transform how knowledge work happens. Knowledge management often fails because information is scattered across systems. AI can search, summarize, and act on that knowledge, making it useful for both humans and machines.

For outdoor enthusiasts, it's like having a digital trail guide that not only shows the map but also tells you where the best fishing spots are, reminds you to pack extra water, and updates your gear checklist based on the weather. It's not just about saving time; it's about enhancing the experience.

Founders Must Get Their Hands Dirty

Zhao's advice to other founders: don't just read reports or watch videos about AI. Build something with it. Each company is in a unique position, and AI won't tell you what to do. You have to experiment, fail, and learn.

This is true for outdoor recreation too. You can read all the guidebooks, but until you hit the trail, you don't really know how your gear works, how your body responds, or what the weather feels like. You have to experience it.

Lessons for the Trail and the Office

Notion's story offers several takeaways for anyone facing change, whether in business or in recreation.

• AI transformation isn't just adding a chat window. It's about changing how people complete tasks and how products are structured.
• Accept uncertainty. AI products require experimentation and fast iteration, not just detailed specs.
• Don't blindly follow the old playbook. Cross-functional skills are more valuable than narrow expertise.
• Enterprise sales still rely on human trust. AI can help, but it can't replace relationships.
• Leaders must personally engage with new technology, not delegate everything.

Old companies can beat new ones if they're willing to rebuild. The same goes for old habits. Whether you're a SaaS company or a weekend camper, sometimes you need to tear down the tent, find a new spot, and start fresh.