Connecting multiple AI requests into a workflow—where one step produces input for the next—automates multi-stage work without human handoffs. This is how you move from using AI for one-off tasks to building actual systems.
Prompt chaining is the practice of breaking a complex task into a sequence of smaller, connected prompts where the output of one prompt becomes the input for the next, creating a multi-step AI workflow. Instead of asking AI to do everything at once, you guide it through a logical series of stages.
This technique dramatically improves the quality of complex outputs such as long-form writing, research reports, or multi-step plans, because each stage receives focused attention rather than the AI trying to juggle too many instructions simultaneously. It is one of the most powerful productivity techniques available to everyday AI users.
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