Linking AI tasks sequentially creates a pipeline where output becomes input, solving problems that require multiple rounds of processing. This is the scaffolding for automating complex work.
Prompt chaining is the practice of breaking a complex goal into a sequence of smaller AI prompts where the output of one step becomes the input for the next, creating a structured pipeline of AI-assisted reasoning or production.
This technique dramatically improves output quality for multi-step tasks like research, writing, and analysis by preventing AI from trying to do too much in a single response, which often leads to shallow or incomplete results.
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