The Hammer.ai blog
Regulated-domain AI · world models · policy-driven agents. Built in the open.
The LLM Learned to Stop Planning
We let an LLM design competing species, run them headless in the living world, and refine them from the results. Over three rounds it revived an extinct lineage into the winner and abandoned its own planner. Going deeper on Part 1.
Part 1: A World From a Seed
A handful of procedural rules can grow a whole living world. First a planet from a seed, then life that adapts to it, procedurally, and with an LLM. This is how games can teach our agents.
Hello World Models
Why we build practice worlds for regulated AI, learned from games. The story behind the series, and what it explores: costs, tradeoffs, and worlds grown from the law itself.
Implementing TurboQuant in llama.cpp: CUDA Scars and What Actually Ships
Part 1 of 2. Why We Did This Hammer.ai runs a industrial research lab hyper focused on regulated domain document understand at extremely efficient margins. Private equity self funded companies like f