Most people tidy up before prompting AI. That instinct is backwards. Here's why messier input often gets you more useful output.
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Reframing your AI prompts as client briefs — with context, constraints, and a named audience — consistently gets better output than just asking a question.
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Assigning a specific role before you ask your question isn't a gimmick — it changes what the model prioritizes. Here's why it works and when it doesn't.
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A practical comparison of Perplexity and ChatGPT for research tasks — not benchmarks, but where each one actually holds up and where it quietly fails.
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A practical comparison of Midjourney and ChatGPT's image generation for real use cases — not benchmarks, but which one holds up when you actually need it.
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Most AI use cases are one-shot. This one gets more useful the more you do it — here's why, and how to set it up properly.
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Most people use AI to write cover letters. Here's a more useful move: use it to actually decode what a job description is really asking for.
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Most people use AI for one-off tasks. Here's the quieter use case that compounds over time: building a personal reference you can actually interrogate.
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Using AI to prep for job interviews isn't about generating answers — it's about pressure-testing the ones you already have. Here's how to do it right.
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AI is genuinely useful for structuring talks and pitches — but it has a specific failure mode you'll only discover when you're actually in the room.