Prompt Engineering Techniques: 7 Advanced Methods
A practical guide to zero-shot, few-shot, chain-of-thought, roles, self-consistency, templates, and grounded answers—each with a copy-paste example.
Seven core prompt engineering techniques — zero-shot, few-shot, chain-of-thought, role prompting, self-consistency, templates, and grounded answers — form the foundation of effective AI usage. Each method below includes examples and ideal use cases.
Example
Summarize this transcript for executives in 3 bullets and 3 action items. Keep under 120 words. No jargon.
Example
Rewrite release notes.
Example:
Input: "Added SSO"
Output: "🔐 Single sign-on: Log in with Okta/AAD; rollout today."
Now rewrite: "{{notes}}"Example
Think step-by-step to decide the best pricing tier for this use case: {{context}}. Show reasoning first, then final choice.Example
You are a senior support lead. Draft a 3-step response to de-escalate an angry customer about {{issue}}. One CTA. Under 110 words.Example
Generate 3 subject lines for {{campaign}}. Keep under 40 chars. Return the top option last with a short reason.Example
You are a {{role}} writing for {{audience}}. Goal: {{goal}}. Tone: {{tone}}. Format: bullets. Length: {{length}} words max.Example
Using only this doc, answer the question. Cite the section.
Doc: {{content}}
Question: {{question}}Best practices
- State goal, audience, tone, format, and length up front.
- Use few-shot when style/format matters; keep examples short.
- Ground answers in provided text to reduce hallucinations.
- Ask for the reasoning first (CoT) and a concise final output.
- Generate multiple options (self-consistency) and pick the best.
FAQ
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