The Playground

The Playground

Half of this studio builds systems for clients. The other half breaks things on purpose to find out what actually works.

The Playground is our research arm. We run experiments on the frontier of AI and the web, and the findings flow straight into the systems we ship.

Bring us the bottleneck

Client work demands answers nobody has written down yet. How many agents should share one task before coordination costs eat the gains? What makes an autonomous system safe to leave running overnight? How heavy can a 3D scene get before phones give up? Vendor blogs will not tell you. Experiments will.

So we run them. Our model-eval harness and context-rot study publish methods, code, and results alongside the conclusions. Read the work itself before deciding how it applies to your business.

What We Are Researching

Seven threads, all active, all feeding production work. Four sit on the machines. Three sit on the people who have to live with them, because a system nobody trusts or adapts to is a system that fails quietly.

Agentic AI

What it actually takes for an AI system to finish real work without supervision. We test task completion, escalation design, and failure recovery before recommending any autonomous build.

Multi-agent systems

When teams of agents outperform a single one, and when the coordination overhead eats the gains. We benchmark both before scoping client systems.

3D and WebGL web experiences

Scenes that stop scrolls without destroying mobile frame rates. We measure polygon budgets, shader cost, and load time on real devices, not spec sheets.

Harness engineering

The verification scaffolding that makes AI agents reliable enough to trust. Static checks, integration tests, and end-to-end probes run before anything reaches a client build.
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The psychology of AI

How people actually trust, distrust, and anthropomorphize AI, and how that shapes whether a system gets used. We study where confidence is earned and where it is dangerously misplaced.

Human adaptation & the future of work

What changes for a team when the routine work leaves. We track how roles reshape around AI, which skills gain value, and how people stay in the loop on the decisions that still need them.

AI's impact on work, culture & society

The second-order effects past any single tool: how automation reshapes incentives, trust, and the way organizations make decisions. We watch this so the systems we build account for it.

We Publish What We Learn

Research that stays private rots. We write up our experiments, including the failures, and publish them at /research/ as Field Notes and Reports. Field Notes are short and applied. Reports are formal write-ups of Playground work.

If you are evaluating us, read a few. They show how we think before you pay us to think about your business.

Why a Studio Runs a Playground

AI moves too fast to rely on what worked last year. The systems we build for clients are only as good as our current understanding of the tools, and reading about them is not understanding. Running them is.

The loop is deliberate: research in the Playground, proof on our own systems, then application to client builds. Building what's next, and the testing that makes the building sound.

Bring us the bottleneck.
We’ll build the system.

Building What's Next.

Work With Us Back to Home

What We Are Researching

We Publish What We Learn

Why a Studio Runs a Playground

From the Playground

Research

Harness Engineering

Our Evaluation Code

MeshD

Bring us the bottleneck.
We’ll build the system.

The Playground

What We Are Researching

We Publish What We Learn

Why a Studio Runs a Playground

From the Playground

Research

Harness Engineering

Our Evaluation Code

MeshD

Bring us the bottleneck.We’ll build the system.

Bring us the bottleneck.
We’ll build the system.