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Prompt component

As explained in The Art of AI Product Development

A prompt component is a modular element of a prompt that provides information, instructions, examples, variables, formatting requirements, or output restrictions.

A prompt component is a reusable part of a prompt that supplies information, instructions, examples, variables, formatting requirements, or output restrictions. Components make complex prompts easier to structure, test, and reuse than one-off instructions. section 6.1.2

Common components include:

  • Context supplies external information, such as prior conversation, or establishes a role for specialized work. section 6.1.2
  • Instructions state the task the language model should perform. section 6.1.2
  • Examples, input variables, formatting requirements, and output restrictions shape the expected response and support reusable templates. section 6.1.2

Reusable content prompt

A content-generation template can vary the topic and content type while retaining role context and task instructions. One example assigns expertise in AI regulations and requests an accessible article about compliance with the EU AI Act. section 6.1.2

How The Art of AI Product Development covers it

How deep it goes
Defines major components and illustrates context and instruction, without detailing model internals.
Examples
Uses conversation history, specialized role play, and an EU AI Act compliance article prompt.
What it assumes
Builds from simple zero-shot prompts before adding context, instructions, examples, and variables.
What you can do after
Apply reusable prompt templates by varying inputs such as topic and content type.
How it connects
Connects zero-shot prompting with context, role prompting, examples, variables, and prompt templates.

Related concepts

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.