Simulations before slogans.
Each public build should do something visible, measurable, and hard to fake: stabilize a grid, intercept debris, contain heat, or explain its own failure.
Agentic AI lab
A public workshop for impossible-feeling agent systems: live simulations, skill scripts, computer-use experiments, and deploy receipts in one operating loop.
Field notes
Each public build should do something visible, measurable, and hard to fake: stabilize a grid, intercept debris, contain heat, or explain its own failure.
Workflows live as compact skills with scripts, references, and verification hooks so each run makes the next agent sharper.
The point is not spectacle. It is the loop: claim, simulate, chart, verify, deploy, remember, and make the next run sharper.
Live labs
The roadmap starts with simulations where every agent action leaves telemetry: failures, recoveries, tradeoffs, and replayable traces.
Microgrid fault injection, line stress, storage dispatch, and agent recovery logs.
Collision physics, interceptor planning, fuel budgets, and timeline replay.
Thermal fronts, valve agents, containment scores, and animated diagnostics.
Skills corpus
Chopshopr packages repeatable craft as skills: small instructions, one-file scripts, reference notes, and hard checks that turn demos into reusable machinery.
Parallel agents inventory code, infra, logs, and market facts.
Codex keeps the write path tight: smallest safe change, real tests, no theater.
AWS, Git, domains, and verification become part of the creative loop.
Launch line
Start with a clean public surface. Then let every shipped experiment make the website, the scripts, and the operating system more capable.
Contact the shop