prompte

Prompte is a term used in discussions of artificial intelligence prompting to denote a codified approach to constructing prompts that guide AI models to produce desired outputs. The word is a portmanteau of “prompt” and the suffix “-e” that some writers use to indicate a specialized kind of prompt. It is not a widely standardized term and appears primarily in academic discussions and some industry writing as a placeholder concept for structured prompt patterns.

Origins: The term emerged in the 2020s as researchers and practitioners explored template-based prompting and structured prompt templates. It is used mainly to describe a family of practices rather than a single, fixed methodology.

Definition and features: Prompte emphasizes modularity; prompts are built from reusable components or templates. It includes instruction alignment, role assignment, and example inclusion, and it supports parameterization and constraints to control length, tone, and style. The approach aims to make prompts more reproducible and easier to audit.

Applications: In the context of large language models, multi-turn dialogues, and instruction-following tasks, Prompte serves as a framework for designing prompts that can be adapted across tasks. It is also used in education and training to teach prompt design and evaluation.

Relation to prompt engineering: Prompte can be viewed as a formalization or variant of prompt templates used in prompt engineering to improve consistency, safety, and reproducibility of model outputs.

Examples: A Prompte template might specify a task: “You are a helpful assistant. Respond with concise steps.” The template is populated with task-specific content to produce a complete prompt, enabling standardized experimentation.

See also: prompt; prompt engineering; template; instruction-following.