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Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9
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==== - Imagine you walk into the library and hand the robots a note (the prompt). ==== * How you write the note affects how the robots interpret it: - A short vague note → robots guess wildly - A detailed step-by-step note → robots produce structured reasoning steps * You’re essentially guiding the robots in how to deploy their knowledge. * Example: - Prompt: “Solve this math problem” → robots jump to predicting the final number - Prompt: “Think step by step before solving this math problem” → robots generate intermediate calculations as “notes in the margins” before giving the answer Key point: Prompt engineering shapes how the fixed library behaves. It doesn’t change the robots themselves, but it influences what they output.
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