KROG
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KROG Lab

Domain experts train KROG-AI

KROG Lab is where senior lawyers fine-tune open-weight language models on the KROG rulebook. Not prompted — trained. Per jurisdiction, signed by named experts.

Why training, not prompting

The KROG rules are a new, narrow rulebook. General models guess. A fine-tuned model knows — because it has actually seen the rules, examples and counter-examples during training.

How we do it

We use Tinker from Thinking Machines to train open weights (Llama, Qwen) on curated datasets. One base model + LoRA adapters per jurisdiction. Every training run and evaluation is documented.

Who trains the models

KROG Fellows are senior lawyers in the network who take responsibility for a model version's quality in a given country. They contribute Q&A pairs, rule annotations and counter-examples, and sign off on each release.

KROG Fellows

Domain experts who train and sign off on the models.

We are appointing the first Fellows. Reach out if you want to be part of the first cohort.

Models

Each published model has a model card with base weights, jurisdiction, trainers and an evaluation summary.

No published models yet. The first release is on its way.

Become a KROG Fellow

Are you senior in one of the KROG practice areas? We are admitting a limited number of Fellows for the first round of model training.

Apply for Fellowship

The human harness for the AI age: expert judgment, converted into verifiable infrastructure — profiles, credentials, rules, and models trained by the people who hold them.

One network, from learning to proving.

We start with law and AI governance — the same model reaches every profession where competence must be proven.