Patents, defensive publications, and the licenses hiding in your AI stack โ explained simply, in depth. Start with the essentials, go as deep as you need.
A single open-source license, model term, or missing patent can stop a sale, sink a fundraise, or trigger an injunction. The good news: it's all knowable โ and we made it clear.
Six short reads. The first two are the impactful basics; the rest go PhD-deep, still in plain English.
What's actually at stake โ and why a modern AI stack hides licenses you've never seen.
Utility vs provisional, "Patent Pending," the 12-month clock, and the file-before-you-disclose rule.
How a public disclosure blocks others from patenting โ and when to publish instead of file.
The full reference โ MIT, Apache, GPL/AGPL, source-available, and AI model licenses, in one table.
Copyleft contamination, the AGPL SaaS trap, source-available bans, and AI data-rights gotchas.
The protection toolkit โ and how to turn IP into licensing revenue and leverage.
Get a license-readiness audit of your AI system, or build and file your own IP with the AI workbench.
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