Artificial Intelligence

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 Editorial 6 min read
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Prompt engineering: the 6 patterns that actually work in production — featured image, Bharat AI Sathi Artificial Intelligence guide

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.

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Bharat AI Sathi Editorial

The Bharat AI Sathi team writes practical, plain-language guides on AI tools, careers and Indian government services. Scheme rules, fees and dates change often — always confirm the latest details on the official website before you act. Published 26 May 2026.

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