liveBook · Manning

Role prompting

As explained in Coding with AI

A prompting technique that instructs an artificial-intelligence model to respond from a specified professional role or perspective.

Role prompting instructs an AI model to respond as a specified professional, such as a Python developer specializing in Flask. It can add direction, but clear objectives and concrete details usually matter more than the role alone. section 7.1

Use role prompting as one part of a structured request:

  • State the role the model should adopt. section 7.1
  • Define a clear, concrete objective. section 7.1
  • Add relevant details, data, functionality requirements, and requested code production. section 7.1

Flask quiz frontend

Act as a professional Python developer specializing in Flask. Create a solution for a database-driven quiz application's frontend, describing its objective, data, functionality requirements, and desired code. section 7.1

How Coding with AI covers it

How deep it goes
Defines role, objective, details, data, functionality, and code output, while noting role assignment may add only marginal value.
Examples
Demonstrates a Flask quiz-system frontend prompt with role, objective, data, functionality, and code-production requirements.
What you can do after
Apply it via a structured prompt that gives AI tools professional context and concrete implementation requirements.
How it connects
Connects role prompting with prompt design, code generation, Flask, frontend development, and database-driven applications.

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Related concepts

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.