// the swarm lab · interactive demo
Swarm Lab — Watch Intelligence Coordinate
A single agent is a loop with a purpose. A swarm is a loop with a nervous system. This is an interactive, in-browser demo of the coordination thesis I build toward: many simple agents, choreographed around a shared core, negotiating a pattern that none of them sees alone.
Simulation: coordinated multi-agent behavior. Click/tap to add agents; drag to attract. Keyboard: focus the canvas, press Enter to add an agent, arrow keys to steer.
Many agents, coordinated.
“The whole becomes smarter than any one of its parts — I watched it happen at the level of a folded protein, then at the level of a brain graph, and I'm building it now at the level of agents.”
That is the thesis: emergence echoes the brains I studied. The double-helix above is the connectome's trick made visible — sparse, deliberate wiring instead of everything-to-everything. Each dot is half-informed and specialized; the pattern only exists because they coordinate. No single point of failure, parallel exploration, collective reasoning.
The vision behind the demo
To act in a world, an agent needs a first-class action API — and a verifier that checks the work actually happened.
This lab explores the direction I'm most excited about: giving agents real handles on a world (a sandbox, a simulator, a canvas) and grading them in that world, not against vibes. The swarm you see above is the coordination layer; the harder half is the verification layer — knowing whether the agent actually did the job.
The lesson I carry into every agent I build: model the environment as a first-class citizen, expose a clean action API, and build the check before you scale the swarm. A feedback loop is only as smart as its verifier.
Built in public
The lab is a living workspace. I ship the failures as loudly as the wins — a reproducible failure is a research result; a happy-looking hallucination is a liability.
Swarm-orchestration playground
The visualizer on this page — choreography, coordination, and emergence made tangible in the browser. You're watching it run.
Vision-based agent for UI automation
Applying the verification-first lesson — a first-class action API plus a verifier that checks the work happened — to real UI workflows at Property Turkey. Model is the easy part; knowing whether the agent did the job is the hard part.
Connectomics → swarm design rules
Turning my brain-super-resolution work into design rules for multi-agent systems: sparse connectivity, specialization, graceful degradation. From the connectome to the swarm.
Agent evaluation harness
An environment-grounded verifier with a failure taxonomy (wrong command · missing step · logic error). Grade the agent in the world it acts in, not against vibes.