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Prompt engineering: the 6 patterns that actually work in production

Cut through the noise. These six prompt patterns cover 90% of real production use cases across chat, code and content.

Bharat AI Sathi Editorial26 May 2026 6 min read
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Prompt engineering: the 6 patterns that actually work in production — Bharat AI Sathi

Prompt engineering as a discipline is settling. After thousands of production prompts across our AI tools, six patterns keep coming back.

  1. Role + task + constraints. "You are a legal editor. Rewrite this clause in plain English. Under 60 words."
  2. Show, don't tell. Include two or three examples of the output format you want.
  3. Chain of thought. Ask the model to think step by step before answering. Improves accuracy on multi-step reasoning.
  4. Refuse-and-ask. Tell the model to refuse to answer if inputs are missing, and to ask for what's missing instead of hallucinating.
  5. Output schema. For anything you'll parse programmatically, ask for JSON with an explicit schema.
  6. Grounding. Paste the source (paragraph, code, PDF text) into the prompt and instruct the model to use only that source.

Combine them. Almost every hard prompt in production is a combination of these six.

Editorial note. This article was written by the Bharat AI Sathi editorial team following our Editorial Policy and AI Usage Policy. Spot a factual error? Email editorial@bharataisathi.com.

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