Prompt Engineering

Prompt engineering is the practice of crafting inputs to AI models to reliably get the output you need. A vague prompt gets a generic answer; a precise one gets an actionable result.

Core techniques:

• Role-setting — "You are a senior financial analyst…"
• Few-shot examples — showing 2-3 input/output pairs before your real request
• Chain-of-thought — "Think step by step before answering"
• Output formatting — "Respond only in JSON with keys: title, summary, tags"

Prompt engineering is less about magic words and more about communicating context, constraints, and expected format — the same clarity you'd use briefing a smart colleague.