Generate and validate machine-readable policy files, entirely in your browser. Nothing is uploaded.
v0.3in-browser + live API
// Generators, validator, and the token demo run entirely locally. The policy tester fetches a site’s public policy files via this site’s API.
Rights
read_access
summarization
quotation
rag_use
transformation
training
commercial_use
redistribution
Output — aicr.json
Place the generated file under /.well-known/ on your site and declare it in llms.txt.
License tiers
Custom tier
Rights included
Output — aicl.json
Place the generated file under /.well-known/ on your site and declare it in llms.txt.
Output
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Educational demo: HMAC-SHA256 with a shared secret, showing request-bound, expiring, verifiable license tokens. Production tokens should be signed asymmetrically, with the publisher’s public key discoverable under /.well-known/.
Output — license token
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The AICL thesis: answer unlicensed AI requests not with a dead end (403/blank) but with a machine-actionable 402 — license catalog, prices, and contact. This site processes no real payments.
Inspect any site’s machine-readable policy surface: robots.txt, llms.txt, AICR/AICL policies, and rights-spectrum declarations — validated against this site’s draft schemas. Includes an adoption score, recommendations, and a one-click starter kit.
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Adoption score
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Recommendations
Generate a starter kit for this site
Four files prefilled for that domain — drop them into the site root to declare its AI policy. Fine-tune them in the generator tabs.
Simulates how four AI personas would interpret a site’s declarations: a search indexer, a RAG assistant, a model-training pipeline, and a commercial redistributor. Undeclared rights read as uncertainty to high-risk pipelines — the core thesis of “Protocolized Openness”.