Phase 1 · Building with LLMs · Prompting
Prompt chaining
Break big tasks into a pipeline of smaller model calls.
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Why it matters
Real LLM features are rarely one prompt. A campaign brief becomes an outline, the outline becomes copy, the copy gets checked against brand rules, and only then does anything reach a customer. Chaining is how you get reliable output from that kind of work: each call does one job well, your code can inspect every step, and when something goes wrong you know exactly where.
What you'll be able to do
- Split a big writing task into a pipeline of small model calls
- Pass each step's output into the next step's prompt
- Put checks in code between steps so bad output stops the chain
- Decide when a chain beats a single prompt, and when it doesn't
Before this lesson
Next in this phase: Choosing a model