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Output format

As explained in Coding with AI

An output format is the specified structural arrangement and representation that a generated response must follow.

Structured output specifies how an AI response should be arranged and represented. A prompt can request bullet points, code snippets, or a defined data structure instead of leaving the response shape ambiguous. section 9.3.1

Use format specifications to make generated responses easier to direct:

  • Name the required structure, such as bullet points, snippets, or a data structure. section 9.3.1
  • Combine the format with clear instructions, relevant context, and concrete examples. section 9.3.1
  • Apply the technique to generated code, documents, and technical documentation while recognizing that results are not guaranteed. section 9.3.1 section 9.0

How Coding with AI covers it

How deep it goes
Defines format choices and their role in prompting but does not specify a formal schema or implementation procedure.
Examples
Uses bullet points, code snippets, data structures, generated code, and technical documentation as output forms.
What it assumes
Assumes a basic prompting task and teaches format specification alongside clarity, context, examples, and task decomposition.
What you can do after
Apply it via prompt instructions that specify the desired response structure for a programming or documentation task.
How it connects
Connects prompt engineering with context, examples, code generation, and technical documentation.

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