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Role-playing

As explained in Coding with AI

A prompting method that assigns an assumed role or identity to an AI system to shape its perspective and response behavior.

Role-playing assigns a specific role or persona to an AI system, shaping the perspective and behavior it should use when responding. It functions as one prompt-engineering technique alongside clear objectives, contextual clues, examples, task decomposition, and format specifications. section 9.3.1

Assigning a prompt-engineering role

A prompt can begin: “Act as a highly experienced prompt engineer with expertise in optimizing prompts for maximum clarity, relevance, and output quality.” The role is strengthened by requesting targeted clarifying questions before producing an optimized prompt. section 9.3.1

How Coding with AI covers it

How deep it goes
Defines role assignment and gives one composite prompt example, without examining model internals or evaluating role effectiveness.
Examples
Uses the persona of an experienced prompt engineer asked to clarify context and optimize a supplied prompt.
What it assumes
Assumes basic prompt-writing familiarity while reinforcing objectives, specificity, context, structure, and clarity as supporting practices.
What you can do after
Apply it in prompts by assigning an appropriate role or persona to guide the AI’s perspective and response behavior.
How it connects
Connects role assignment with prompt engineering, clarifying questions, contextual clues, examples, and output-format specifications.

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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.