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Augmentation

Augmentation is the use of tools, information, or technology to extend capabilities or improve performance without fully replacing the participant’s involvement.

How 2 Manning books explain it

The Art of AI Product Development

Augmentation is the use of technology to enhance a person's capabilities or performance without fully replacing their involvement.

How it is used
Positions augmentation as an AI opportunity for improving user work without making automation the only goal.
How deep it goes
Develops task selection through value, feasibility, desirability, and MVP scope; stops short of implementation details.
Examples
Uses sustainability-report composition and a music-streaming opportunity tree to make candidate improvements concrete.
What you can do after
Evaluate/understand augmentation opportunities by comparing user value, feasibility, and desirability, then preserving user control over AI outputs.

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Introduction to Generative AI, Second Edition

Augmentation is the use of technology to enhance human capabilities rather than replace human participation.

How it is used
Frames AI deployment as collaboration with workers rather than labor substitution.
How deep it goes
Defines the collaboration principle and contrasts its economic risks with automation, without implementation details.
Examples
Uses knowledge work, AI tool use, worker access and skills, and skilled trades to illustrate uneven effects.
What you can do after
Evaluate AI work systems by comparing collaboration, replacement, productivity gains, worker risks, and distributional effects.

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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.