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Beginner

Use Examples (Multishot Prompting)

How to use few-shot examples to dramatically improve Claude's accuracy, consistency, and output quality.

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Content sourced from official Anthropic documentation
1

Why use examples?

Examples are your secret weapon for getting Claude to generate exactly what you need. By providing a few well-crafted examples, you dramatically improve accuracy, consistency, and performance — especially for tasks requiring structured outputs.

💡Include 3-5 diverse, relevant examples to show Claude exactly what you want. More examples = better performance, especially for complex tasks.
2

Crafting effective examples

For maximum effectiveness, examples should be: Relevant (mirror your actual use case), Diverse (cover edge cases and vary enough to avoid unintended patterns), and Clear (wrapped in <example> tags for structure).

💡Ask Claude to evaluate your examples for relevance, diversity, or clarity. Or have Claude generate more examples based on your initial set.
3

Customer feedback analysis

Without examples, Claude may not list multiple categories, includes long unwanted explanations, and formats inconsistently. One example fixes everything.

Feedback categorization
Our CS team is overwhelmed with unstructured feedback. Your task is to analyze feedback and categorize issues for our product and engineering teams. Use these categories: UI/UX, Performance, Feature Request, Integration, Pricing, and Other. Also rate the sentiment (Positive/Neutral/Negative) and priority (High/Medium/Low). Here is an example:

<example>
Input: The new dashboard is a mess! It takes forever to load, and I can't find the export button. Fix this ASAP!
Category: UI/UX, Performance
Sentiment: Negative
Priority: High
</example>

Now, analyze this feedback: {{FEEDBACK}}
Without the example, Claude outputs single categories with long paragraphs. With the example, it outputs clean multi-category labels in the exact format shown — no extra explanation.
4

Impact of examples on output

In tests, prompts with examples produce outputs that are more structured, more consistent across multiple runs, and more aligned with the intended format. Without examples, Claude often adds explanatory text, uses inconsistent formatting, and may miss multi-label categorizations. Examples eliminate ambiguity that instructions alone cannot resolve.

Key topics covered

Few-shot prompting
Examples
Output formatting
Consistency
Edge cases
Classification
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