Prompt Chaining
Break down complex tasks into chains of connected prompts.
Instructions
Prompt chaining is the technique that transforms an AI user into an AI architect. Instead of asking for everything in a single prompt, you break down a complex task into steps, each prompt using the output of the previous one. It's like an assembly line: each step has a precise role and produces a specific deliverable that feeds the next step. The final result is much higher quality than a single prompt. In this exercise, you'll design a 3-step prompt chain to create an SEO-optimized blog article.
Your prompt
Design a 3-prompt chain to create a complete blog article on the topic "How to get started with prompt engineering in 2025". For each step: 1. **Prompt 1 - Outline**: ask the AI to generate a detailed outline (SEO title, meta-description, H2/H3, target keywords). The prompt must specify SEO constraints. 2. **Prompt 2 - Writing**: use the generated outline to request complete writing. Show how to inject Prompt 1's output into Prompt 2. 3. **Prompt 3 - SEO Optimization**: take the draft and request a final optimization (keyword density, internal links, metadata, readability). Write all 3 complete prompts and explicitly show how each step's output feeds the next using [OUTPUT_STEP_X] markers.
Examples — click to pre-fill: