AI Model License Lint

Flags open-weight AI model IDs in your code against their real licence clauses: EU-domicile exclusion, 700M MAU cap, non-commercial weights, missing Built with Llama attribution. Runs entirely in your browser — nothing is uploaded.

Export the NOTICE file and the workspace obligation report
$29 once, one licence key per person or team seat, 7-day full refund. Outside technology counsel bills roughly $350-600 an hour for an open-source and model-licence review.

Same engine as the VS Code extension, byte for byte.

Get the complete version $29

This page is the working piece. The full pack has everything below.

Reads the open-weight model IDs in your code and names the licence clause that binds you - 22 rules, 17 findings on a 33-line fixture

Outside technology counsel bills roughly USD 350-600 per hour for an open-source and model-licence review, repeated each time the model list changes

Buy the full version — $29

Questions people ask

What does AI Model License Lint actually do?

It reads the open-weight model identifiers in a source, config or markdown file and returns the licence clause attached to each one: the EU-domicile exclusion on Llama 3.2 and Llama 4 multimodal, the 700 million MAU cap, FLUX.1 dev's non-commercial terms, Stable Diffusion 3's one-million-dollar revenue trigger, Codestral's non-production licence. 22 rules, no network call, no model download.

Who is this for?

Engineers and technical founders at EU and UK software companies that ship local open weights inside a paid product. The clauses that bite hardest are keyed to where your company is established, what your revenue is, and whether the deployment is production - three facts a code assistant suggesting a model identifier knows nothing about.

Why can't I just ask a chatbot or read the model card?

A chatbot answers from a snapshot and will confidently tell you Gemma is Apache 2.0 or that FLUX.1 dev is fine to sell. Model cards link the licence but do not tell you which clause your company trips. This linter is a fixed, dated rule set you run against your own files, so the answer is reproducible and reviewable rather than regenerated each time.

What is free and what costs money?

Scanning is free and finished: open a file, run the check, read the clause behind each finding, change the model. Nothing is blurred, counted down or watermarked. The paid tier does a different job - it exports a NOTICE and attribution file plus a dated per-model obligation report for the whole workspace, and returns a CI exit code so a new model identifier cannot land unreviewed.

What would this cost me otherwise?

Outside technology counsel bills roughly 350 to 600 US dollars an hour for an open-source and model-licence review, and the review repeats every time an engineer swaps a model. The licence is 29 dollars once. The comparison that matters more is a Llama 3.2 Vision path found by an acquirer's diligence team instead of by you.

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