Prompt Chaining
Break complex tasks into connected steps. This is where prompt engineering becomes workflow engineering.
What You'll Learn
- Why one mega-prompt often fails and chains succeed
- How to decompose tasks into chainable steps
- Passing output from one prompt as input to the next
- Building reliable multi-step workflows
One Prompt Can't Do Everything
There's a limit to what you can accomplish in a single prompt. Ask AI to research, analyze, write, format, and review — all at once — and quality drops across the board. The model spreads its attention too thin.
Prompt chaining fixes this. You break the work into focused steps, where each prompt does one thing well, and the output of each step feeds into the next.
Input -> Process -> Output -> Next Input
Every chain follows this pattern. The key insight: each step should produce clean, structured output that the next step can consume without confusion.
Step 1: Research
"Analyze this company's website and extract: their target audience, main value proposition, top 3 competitors, and pricing model. Return as a structured brief."
Step 2: Strategy
"Based on this competitive brief: [paste Step 1 output]. Identify 3 positioning opportunities they're missing. For each, explain the gap and suggest a specific angle."
Step 3: Execution
"Using positioning opportunity #2 from this analysis: [paste Step 2 output]. Write 3 landing page headlines and a 100-word hero section that captures this angle. Tone: confident, not salesy."
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