Writings

Learning from the Inside: A Kinelo Intern Reflects

July 30, 2026 Zula Root

Zula Root on her summer at Kinelo, and why keeping up with AI from the outside was never going to be enough.

San Francisco Bay from Mount Tamalpais

Debate at the Dinner Table

Two months ago, before I started my internship at Kinelo, I was having dinner with a group of friends at a cabin on Mount Tamalpais overlooking the San Francisco Bay. The small talk followed an expected path: how the year had been, upcoming travel, and plans for the summer. Eventually, as the sun set low over the Bay, the conversation shifted to AI and how we use it.

The two doctors at the table described their enthusiasm for a new proprietary AI transcription tool that automated their note-taking during patient visits.

“It's amazing. It takes better notes than I do. Now I can focus on being present with the patient, asking the right questions, listening, and I don’t even have to move my pen.”

The lawyer was the most cautious person at the table. She was firmly against using AI because it did her job poorly. “It hallucinates. It references cases that don’t exist. It just makes them up.”

What separates these experiences is the quality of output. The doctors had experienced a company-wide adoption of the tool and were enthusiastic because the tool made their routine easier. The lawyer, by contrast, had only spent her time experimenting with a tool she could not trust.

There is an ongoing debate around who should use AI, when they should use it, and for what purpose. The conversation appears at nearly every level of public discourse, from LinkedIn “think pieces” to the teachers’ syllabi.

Emerging technology can be an intrusion, especially when it’s unfamiliar. Right now, we're living through a period of constant change with unclear boundaries, inconsistent adoption guidelines, and evolving company use policies.

So what should we do about it? Progress begins with curiosity and a willingness to tackle the unknowns.

Keeping Up Is Not Enough

I strive to stay informed about what is new, but the AI landscape moved faster than I could follow. The media is flooded with unfamiliar terms and phrases. Every week brings a new concept, product launch, and think piece on why Opus is better than Kimi K3.

I realized that simply keeping up with what’s new would only get me so far. To truly understand the industry, I needed to participate in it.

I needed to learn from the inside.

Why Kinelo?

So I jumped. I began researching emerging AI startups in San Francisco.

The term “AI” is noisy, and many companies rely on a limited range of phrases to describe their product: “AI coworker,” “company brain,” “agentic AI.” I found it difficult to distinguish one company from the next.

Kinelo stood out. While they used similar frameworks to describe their product, their philosophy was uniquely compelling. On Kinelo’s website, I read about AI failing because of the “unknown unknowns” and the importance of giving AI a “seat at the table.”

I had never considered a future of hybrid teams where humans work alongside AI coworkers. The idea made so much sense. AI should not exist outside of a team. It should be integrated directly into the way a team functions. After spending the summer at Kinelo, I am increasingly confident that this future is right around the corner.

My First Day at Kinelo

On my first day, I was immediately invited into the conversation. I was present in every meeting, given access to the product for hands-on experimentation, and treated as a member of the team.

It was clear that the team valued my perspective as a newcomer to the space. Over the following weeks, I began to see Kinelo’s values of courage, velocity, ownership, and humanity reflected in the way the team worked.

Courage

With courage comes conviction. At Kinelo, we have ambitious goals to be at the forefront of innovation. This means constantly evaluating what is new, questioning existing assumptions, and remaining open to change.

During my first few weeks, I fell into something I like to think of as the permissions trap. I sought out feedback and approval at every step before moving forward. I assumed I was being thoughtful and careful, but I was actually slowing down my own progress.

I began approaching unfamiliar problems differently. I researched what was unfamiliar, identified the pain point, tested possible approaches, and brought the team something concrete to respond to. I learned that struggling, failing, and redirecting were not signs that I was doing something wrong. They were part of the process.

I learned to take agency, not to wait for permission. Taking agency does not mean acting without intention or avoiding feedback. It means understanding the objective, considering the risks, and moving forward without waiting for someone to approve every small decision.

Velocity

At Kinelo, velocity is defined in the physics sense: speed with direction. I learned to fail quickly.

Moving fast did not mean acting carelessly. It meant quickly taking initiative, observing the results, and adjusting direction when necessary.

I also learned that perfection can be a setback. More often than not, the pursuit of perfection is a way of remaining stagnant. My desire to produce polished work prevented me from sharing it early enough to receive useful feedback.

Progress came from building momentum, refining my direction, and continuing toward a goal.

Ownership

Daily stand-ups. Weekly cycle plans outlining new objectives. Product discussions bringing together engineering and go-to-market perspectives. I had never been involved in such a coordination effort before, and I began to understand how important clear communication is when the group is moving toward a shared goal.

This summer, I had the freedom to decide how to conduct my research and present my findings. I took the initiative to schedule one-on-one interviews, cold-email companies, and experiment with new products.

Everyone remembers their first internship failure. Mine was my first presentation.

After weeks of research, I posted an eight-page paper with a TL;DR the night before our meeting. I assumed including more detail would make my findings more useful, and that the summary would make the long document easy to absorb.

During the presentation, I realized that the format actually made the information difficult to follow. The next time, I shared my material earlier, simplified the conclusions, and presented them in a slide deck.

I learned that ownership does not end when the research is complete. It also means presenting the work in a way that helps the team understand why it matters.

Humanity

At Kinelo, humanity means having empathy for customers, users, and teammates. I saw that most clearly in the way the team disagreed. Debate was encouraged and no single person had the “right” idea. The team worked as a collective, challenging one another while remaining open and thoughtful.

I felt this respect from the beginning. I was challenged, listened to, and taken seriously. I was treated as a valuable member of the team, not just a temporary intern.

My ideas were not accepted automatically, but they were considered seriously. I was treated as someone who could contribute to the work, not merely observe it.

Kinelo Changed My Mind

My experience this summer has already shaped the way I think about technology, work, and the way a company should operate. Kinelo functions as a true team, one that makes debates productive, values every voice, and works with passion.

I began the summer trying to understand AI from the outside. By the end of my internship, I had gained a clearer understanding not only of how an AI company operates, but also how shared passion, mutual respect, and hard work drive innovation.

Before Kinelo, I thought learning about what was new only meant finding the right tools. Now I understand it requires curiosity, a willingness to experiment, the ability to take responsibility, and the patience to work through the unfamiliar.

The next time AI comes up in a dinner conversation, I’ll approach it differently. Rather than asking whether people should use AI, I will consider what problems it solves and whether it can be trusted. More importantly, I will ask them why.

Embracing Uncertainty

Working in a small startup comes with its challenges, especially now, when the path forward is uncertain. There isn’t a clear roadmap, which means the team must respond quickly as the landscape changes. As a result, we rely on experimentation and a willingness to adjust when necessary.

As a college student, I am accustomed to following a path. Every class has a detailed syllabus. Every assignment has a rubric. Every essay has a prompt. And there’s a deadline for everything.

Working at a startup taught me how to embrace uncertainty. Instead of being discouraged by unclear next steps, I’ve learned to become curious. I began to see uncertainties as an opportunity to take risks, experiment, learn, and grow.

This summer showed me that success demands more than a strong idea. It requires innovation, curiosity about what is new, and the persistence to move forward when the answers are not obvious.

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