"What I cannot create, I do not understand." — Richard Feynman

Everyone is in a race to build with AI agents. To deploy them, orchestrate them, automate with them. The question that will matter more over time is whether the people building with them actually understand what those agents are doing.

It is not a comfortable question. But it is the right one.

That is what we believe, at Enter, every single day. And that is exactly what happened at HackPrinceton Spring 2026.

This week, we shared our experience of that weekend If you missed it, you can read it HackPrinceton 2026 x Enter.pro : Building the Future | Enter . That article was about the energy, the mission, the bigger picture. This article is a deep dive in PolyPath.

Because a generation of developers and students is entering a world saturated with AI systems. The tools to use them are everywhere. The curriculum to understand them: how they reason, where they fail, what they are actually doing inside a given task; has not kept pace. The gap between using AI and understanding it is widening.

That gap is what PolyPath was built to close.

The Conviction That Started It

The inspiration for PolyPath did not come from a market opportunity. It came from a belief.

Tyler Van Buren arrived at HackPrinceton with a thesis: we will still need humans in the loop who deeply understand how these agents work. Not humans who can prompt them. Humans who understand them: what they are optimizing for, how they behave under different conditions, where their logic breaks down.

That kind of understanding does not come from reading a slide. It comes from watching the algorithm run. From asking questions in real time. From having something show you, not just tell you.

PolyPath is that something.

What PolyPath Is

PolyPath is a framework for interactive lessons in machine learning algorithms.

The key word is interactive. Machine learning concepts: gradient descent, classification, clustering are notoriously difficult to absorb passively. They have to move to be understood. You need to see the algorithm behave across different inputs before the intuition clicks. A static diagram does not do that. A slide does not do that.

PolyPath pairs a live agentic demo — the algorithm running in real time, in front of the student — with an AI tutor present alongside it. You watch the algorithm work. You ask questions. The tutor responds, explains, and adjusts the explanation to wherever you are in the material.

It is not a video. It is not a textbook. It is the closest thing to having a patient, knowledgeable person sitting next to you while the algorithm runs — someone who can answer the question you have right now, about the thing that is happening right now on your screen.

The goal is not just to teach the algorithm. It is to build the kind of intuition that lets a student recognize one when they encounter it in the real world.

How He Built It

He built the entire thing on Enter.pro. 100% vibe coded.

That phrase is worth sitting with, because the builder said it with a specific kind of pride. Not "we used AI to assist." All of it. The framework, the lesson structure, the real-time demo interface, the tutor layer — described in plain language, built by the AI, shipped in 36 hours.

Enter gave him the infrastructure to move without losing time to setup, configuration, or scaffolding. From the first prompt to the live URL, the platform handled the execution. He spent the full 36 hours on the only thing that actually mattered: the learning experience.

That is what vibe coding is for. Getting the idea out of your head and onto a screen fast enough that you can start learning from it.

This Is the Sixth Project We Have Written About From HackPrinceton

We have kept writing about what came out of that weekend because the quality of thinking has kept earning the attention.

PolyPath earns its place because the question it is asking is one the industry has not yet taken seriously enough: if everyone is deploying agents, who actually understands them? And what does the education for that look like?

Enter was at HackPrinceton because we believe anyone with an idea should be able to build it. PolyPath is what that looks like when the idea is not a product, but a lesson — when the builder is not chasing a market, but trying to close a gap that matters.

What Comes Next

The near-term roadmap is clear: more lessons, user accounts, persistent sessions so a student can return to exactly where they left off.

The longer arc is what makes this interesting. A framework that makes machine learning algorithms visible and interactive — that teaches by showing rather than describing — has applications across every CS curriculum, every self-directed learner, every engineer who has deployed a model without fully understanding what it does.

The lesson is not finished. But it has just started.

→ Try PolyPath live: 8b0805f774144e2bb5aeaa41ac4dadb2.prod.enter.pro

Missed the earlier volumes? → Vol. 1 — Heritage in Pixels → Vol. 2 — Terra Zone AI → Vol. 3: reAgent → Vol. 5: TaleTailor → Vol. 4: LEGR