A thoughtful AI collaborator for writing, analysis, coding, and long-form work.
Full evaluationGlossary · Updated Sep 2, 2026
Prompt engineering
The practice of designing and refining prompts, examples, and instructions to get reliable outputs from AI models.
Definition
Prompt engineering covers techniques such as role and goal statements, few-shot examples, step-by-step reasoning requests, output schemas, and iterative refinement. In products it extends to templates, variables, and evaluations that measure whether prompt changes improve results. It sits between craft and engineering, and it is increasingly automated by tools that test prompt variants.
Why it matters when choosing a tool
Teams that treat prompts as versioned, tested assets get more consistent quality from the same models, which matters when AI features reach customers.
Where you will meet it
AI Coding & Development, AI Agent & Chatbot Builders
Related terms
Tools where this matters
Reviewed products in the related categories
An AI-native code editor for repository-aware agents, edits, review, and automation.
Full evaluation
Automated code quality and security verification platform across IDE, CI/CD, and AI agent workflows.
Full evaluation
Conversational AI and agent platform combining LLM reasoning with deterministic business logic
Full evaluation
Open-source agent development framework for building, debugging, and deploying production AI agents.
Full evaluation
Enterprise iPaaS and AI orchestration platform for governed workflows and autonomous agents.
Full evaluation