Complex assignments often have hidden dependencies—you can't write a strong analysis before understanding the context, can't synthesize sources before reading them—and sequencing your prompts to respect these dependencies produces work that builds logically rather than feels rushed. This approach treats assignments as problems with structure, not just tasks with deadlines.
Prompt chaining is the practice of breaking a complex task into a sequence of smaller AI prompts where the output of each step feeds into the next.
For college students, this means tackling a research paper or case study one stage at a time, so the AI produces deeper, more coherent work than a single broad prompt ever could.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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