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OmnipubPublisher AI Learning Center
The place for publishing leaders to understand AI business models, risks, licensing, and use cases.
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Plain-language guides and interactive walkthroughs, written for publishing leaders — not engineers. New guides ship regularly.
Anatomy of an AI agent
Take an AI agent apart, layer by layer: the application, the LLM, the harness, tools and data, and the objective. See where 170 AI products play, and which layers a publisher should own.
Anatomy of an AI query: queries, chunks, and tokens
A plain-language tour of the three words you keep hearing — what they mean, how they fit together, and how fast they add up once AI starts working on your behalf.
How AI usage becomes metrics
A live AI agent answers questions from real publisher collections while a dashboard tracks every usage event it fires — connect how AI actually uses content to the metrics a publisher sees.
How AI actually uses your content
An interactive walkthrough: follow one question from your catalog to a cited answer, and see what those tokens are worth.
The guides above are the durable explainers. For what changed this month — deals, model releases, and rulings — read our ongoing writing on AI content licensing and RAG.
Need Help Applying This to Your Catalog, Contracts, or AI Roadmap?
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