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You have completed The 5 Principles of Effective AI Prompting - AI Foundations Day 3!
You have completed The 5 Principles of Effective AI Prompting - AI Foundations Day 3!
Preview
Focus beats volume. How to break a complex request into a chain of sequential prompts where each output feeds the next, and how to build that same decomposition into a single prompt when chaining feels like overkill.
Vocabulary
- Context window — The limit on how much an AI can hold in mind at once. Like a whiteboard: as a chat grows, the earliest material gets erased, which is why long conversations start to drift.
- Prompt chaining — Running a sequence of prompts where each output feeds the next — generate, then critique, then improve. Slower, but noticeably more accurate.
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Break complex tasks into steps.
0:00
Even with massive context windows, a
focused task with clear boundaries
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consistently produces higher quality than
cramming multiple objectives into one
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prompt.
0:09
It's not a context limitation, it's a
focused benefit.
0:10
With prompt chaining, we break complex
tasks into sequential prompts.
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Prompt 1.
Summarize this paper covering methodology,
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findings, and implications.
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Prompt 2.
Review the summary above for accuracy,
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