An AI engineer’s tips for writing better AI prompts

The article argues that prompt quality affects precision, efficiency, and how tailored the output feels. It recommends giving AI enough context, asking it to take on a persona, showing examples of the desired output, and splitting complex work into smaller steps.

It also says that too much detail can hurt results, and that even strong prompts do not guarantee perfect output. AI-generated content still needs proofreading and touch-ups.

Reading notes

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• More context and detail in the initial request tend to produce better responses, especially in content generation tasks.
• Requests with too much detail can also fail, because many long instructions are not guaranteed to be followed.
• Asking the AI to assume a persona helps adjust tone and context, including in feedback requests.
• In repetitive tasks, indicating the expected format and including examples improves the consistency of the responses.
• In complex tasks, dividing the work into stages increases the accuracy of the result.
• The AI can also show its own process before carrying out a task, to allow human review and adjustment.
• There is no perfect prompt, so the generated content still needs review and touch-up.