What is Prompt chaining?
Also called: multi-step prompting · pipelines
Prompt chaining splits a big task into a sequence of prompts, each feeding the next — outline, then draft, then edit — instead of asking for everything in one shot.
One prompt asking for research, structure, draft and polish forces the model to do four jobs at once, and the weakest one drags down the rest. Chaining gives each step its own focused prompt and lets you check and correct between steps.
It's also how you build reliable AI workflows: extract → classify → draft → validate, each stage simple enough to test. The cost is more calls and more latency; the benefit is control.
- Make each step produce something you can inspect.
- Pass only what the next step needs, not the whole history.
- Put a critique step near the end.
Use it right now
Ask our brain anything on the homepage — it remembers the whole conversation — or write a brief in the Studio and see the prompt it compiles to.