Generative AI
Prompt Engineering Patterns for Better Business Outcomes
Prompt engineering is the interface between business intent and model behavior. Clear roles, structured outputs, examples, and constraints dramatically improve reliability.
Patterns such as chain-of-thought for reasoning tasks, few-shot examples for classification, and JSON schemas for system integrations help teams standardize results.
Production systems should version prompts, evaluate them against golden datasets, and monitor drift as models and content change.
At DHAAI Labs, we treat prompts as first-class assets—tested, documented, and governed like any other critical software component.
