Few-Shot Prompting (Learn by Example)

Education & Learningprompt-engineering-beginnersoutput_formatexample_input_1example_output_1

Few-shot prompting is showing the AI examples of what you want instead of explaining it. Two examples is usually enough for the AI to learn the pattern. This works for formatting, classification, tone matching — anything with a consistent pattern.

Prompt
Convert the following items into {{output_format}}.

Here are examples of the format I want:

Input: {{example_input_1}}
Output: {{example_output_1}}

Input: {{example_input_2}}
Output: {{example_output_2}}

Now convert these:

Input: {{actual_input_1}}
Output:

Input: {{actual_input_2}}
Output:

Variables to customize

{{output_format}}{{example_input_1}}{{example_output_1}}{{example_input_2}}{{example_output_2}}{{actual_input_1}}{{actual_input_2}}

Why this prompt works

Few-shot prompting is showing the AI examples of what you want instead of explaining it. Two examples is usually enough for the AI to learn the pattern. This works for formatting, classification, tone matching — anything with a consistent pattern.

What you get when you save this prompt

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MCP
$ npm i -g @promptingbox/mcp
Claude · Cursor · ChatGPT

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