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Browse letter P hub
Prompt Engineering
The practice of designing and structuring prompts to obtain more accurate and useful outputs from AI models.
Definition
The practice of designing and structuring prompts to obtain more accurate and useful outputs from AI models.
How It Works
Prompt Engineering helps teams build predictable AI and translation workflows by setting clear expectations for quality, consistency, and decision-making.
In production environments, this concept is applied with process controls such as human review, terminology alignment, and repeatable quality checks across multilingual content.
Key Concepts
- core principle of prompt engineering
- workflow-level implementation
- terminology and quality consistency
- human validation before publication
Where It Is Used
- localisation workflows
- AI translation pipelines
- multilingual content production
- cross-referencing related concepts such as Parallel Corpus