Observed Signal · Nov 2, 2026 · Market Signal · Source: Prebid · Impact: 2/5
Getting Paid in the AI Era: A Field Guide to the New Monetization Models
Article by Anton Nashkerskyi (Sigma Software) and Krish Arvapally (Dappier), for the Prebid LLM Taskforce. Part of the publisher series. Earlier articles in this series covered AI traffic and …
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Who Gets Paid When an AI Reads Your Page?
By Constantine Mirin and Anton Nashkerskyi For the Prebid LLM Taskforce. Part of the publisher series. Earlier in this series, The State of AI Traffic: What Publishers Are Seeing in …
Provenance and Reporting: Who Made Your Content, and How Did AI Use It?
By Erik Svilich (Encypher) and Alex Springer (SPUR Coalition) For the Prebid LLM Taskforce. Part four of the publisher series. Disclosure: Encypher sells C2PA provenance software, co-chairs the C2PA text ...
Free 84‑page AI handbook for LLMs and agents
Vinicius Pereira published a free 84-page handbook titled "Artificial Intelligence in Practice" that guides beginners from basic LLM concepts (tokens, context windows, temperature) through running models locally and building AI agents. The book, available on GitHub under a CC BY-NC-SA license, covers foundations, running models on personal hardware (mentions Ollama and Apple Silicon), Retrieval-Augmented Generation (embeddings, vector databases, chunking), multi-agent orchestration (CrewAI, LangGraph, tool integrations, browsing, MCP), and deeper topics like fine-tuning, cost, security, privacy, and testing. It includes three capstone projects and was hand-tested; prices and version numbers were verified in mid-2026. The author plans to serialize some chapters on dev.to.
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