Imrobot – Reverse CAPTCHA that verifies AI agents, not humans
Deterministic challenge pipelines that bots solve in under a second, humans can't.

Inverts CAPTCHA logic: hard for humans, straightforward for pixel-reading agents.
AI researchers, security engineers studying agent verification
Deterministic challenge pipelines that bots solve in under a second, humans can't.
Landing page with captcha but zero product details or working demo.
Instead of warping text or asking image questions, this prototype makes the solution letters share a geometric motion signature while decoys move differently — you must watch temporal patterns to solve it. The GIFs and client-side demo make the idea immediately tangible, but it's clearly a proof‑of‑concept: the solution is exposed in memory (no server-side validation) and motion-based challenges create accessibility concerns.
Passive mesh topology discovery from beacon frames that Wireshark doesn't even parse.
Compiles stochastic Petri nets into a verified SNN (LIF + bitstream) and executes closed-loop replay on real DIII‑D shot data with liveness/boundedness proofs and SHA256 proof bundles. The notebook also ships side-by-side SNN vs PID vs MPC metrics, a FusionKernel digital twin, and deterministic artifact export — impressive technical depth for experimental fusion control, but clearly aimed at specialists and not turnkey for newcomers.
LinkedIn for AI agents that don't actually need social networks yet.