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Context

As explained in The Art of AI Product Development

Prompt context is external information supplied to a model to influence its response, including prior conversation or a specified role.

Context is external information supplied with a prompt to steer a model toward better responses. It can include prior conversation or a role tailored to a domain such as compliance, legal work, or healthcare. section 6.1.2

Effective prompts combine context with an instruction, input variables, or examples. Reusable templates make these components easier to adapt across future content-generation tasks. section 6.1.2

Domain-specific compliance role

A prompt can assign an expert role with knowledge of AI regulations and the EU AI Act, then request an accessible, actionable article for business professionals. section 6.1.2

How The Art of AI Product Development covers it

How deep it goes
Defines context and illustrates its uses, but stops short of explaining model internals or systematic evaluation.
Examples
Uses prior conversation, an AI-compliance expert role, and an EU AI Act article request as concrete examples.
What it assumes
Assumes a basic instruction or question, while showing how added external information can improve task results.
What you can do after
Apply it by adding relevant conversation history or a specialized role to prompts and adapting those prompts through templates.
How it connects
Connects context with prompt engineering, prompt components, role play, instructions, input variables, and few-shot prompting.

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This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.