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AI-generated content

AI-generated content is text, code, images, audio, video, or other material produced wholly or partly by an artificial-intelligence system.

How 2 Manning books explain it

Introduction to Generative AI, Second Edition

AI-generated text is written language produced wholly or partly by an artificial-intelligence system.

How it is used
Examines AI-generated text in authorship and detection debates, while noting its creative use for copy, advertisements, and concepts.
How deep it goes
Compares detection approaches and explains their limitations, but does not establish a reliable method for identifying all AI-generated content.
Examples
Uses an edited student essay, a paraphrased chatbot email, GLTR word highlights, and watermarking as examples.
What you can do after
Evaluate detection claims with awareness that statistical tools can misfire and edits can evade detection.

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Build AI-Enhanced Web Apps

An AI-generated response is content produced by an artificial-intelligence system in response to an input or instruction.

How it is used
Uses model output to deliver application responses, feedback, reviews, summaries, structured data, and programmatic results.
How deep it goes
Explains reliability, hallucination, validation, bias mitigation, prompting, and tool integration without detailing model internals.
Examples
Uses feedback, reviews, summaries, structured data, natural-language responses, and SQL query outputs as generated artifacts.
What you can do after
Evaluate generated outputs, constrain their context, validate accuracy, audit bias, and integrate tools through application frameworks or MCP.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.