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Prompt version

A prompt version is an identifiable revision or variant of a prompt that differs in wording, instructions, or model-specific conventions.

How 2 Manning books explain it

Build AI-Enhanced Web Apps

Prompt versioning is the practice of maintaining identifiable revisions of prompts so their changes and behavior can be tracked.

How it is used
Tracks prompt changes so teams can assess their effects on AI outputs and user experience in web applications.
How deep it goes
Explains storage choices, revision examples, and output tests, but stops short of a complete database-backed implementation.
Examples
Contrasts workout-blog wording and provider-specific translation files, then checks generated output with Vitest mocks, similarity, and constraints.
What you can do after
Operate/configure it by keeping identifiable revisions for comparison and rollback, with database storage when updates must avoid redeployment.

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AI Agents in Action

A prompt variant is an alternative version of a prompt that can be tested against other versions for comparative results.

How it is used
Uses controlled prompt or profile changes to compare recommendation and other agent-task results.
How deep it goes
Explains version creation, batch execution, rubric scoring, and run comparison, but defers detailed prompt-engineering tactics.
Examples
Uses recommendation templates, system-versus-user prompt placement, connection parameters, batch runs, and evaluation exercises.
What you can do after
Evaluate prompt versions with prompt flow and compare their rubric scores across runs.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.