Phase 0: How AI Actually Reads Your Words · 30 min · ChatGPT, Claude, or Gemini (any)

Telling vs. Showing: Zero-Shot and Few-Shot

Explaining takes words. Showing takes examples. Showing almost always wins.

Real-world application: What changes when you use this: you stop trying to describe the output you want and start showing the AI what it looks like — your output consistency jumps dramatically, especially for repetitive tasks.

What you will learn

Understand the difference between zero-shot (telling) and few-shot (showing)
Know when few-shot examples produce better output than instructions alone
Know how many examples to give (1-3 is usually enough)
Write a few-shot prompt for a real repetitive task

Introduction

Telling vs. Showing: Zero-Shot and Few-Shot

Objective

Take a repetitive task where AI output is inconsistent, write 1-2 examples of the output you want, and create a few-shot prompt that produces consistent results.

Explaining takes words. Showing takes examples. Showing almost always wins.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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Key terms in this lesson

Zero-Shot