Essays

AI data processing is using artificial intelligence to turn raw, messy information into structured data you can count, sort, and act on. Think survey replies, support tickets, call notes, customer reviews. The stuff that piles up in spreadsheets and inboxes because nobody has the hours to read through it all. The prac ...

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AI data solutions: why your data matters more than your model

AI data solutions are the work of getting your messy business data into a shape that AI tools can actually use. Not a product you buy. Not a platform. The borin ...

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AI document automation: where it works, where it doesn't, and how to start

AI document automation reads a document, pulls out the data you need, and sends it where it belongs. An invoice arrives as a PDF. The AI finds the vendor name, ...

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AI for entrepreneurs: fill the roles you can't hire yet

AI for entrepreneurs isn't about tools. It's about roles. The ones you can't afford to hire yet: a researcher, a marketer, a junior analyst, someone to handle t ...

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AI for product marketing: where it helps, where it doesn't, and what to keep human

AI for product marketing helps most with the volume work: launch assets, competitive research, and sales enablement. It helps least with the one job that matter ...

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AI for business ideas: stress-test yours before you build

AI can help you with business ideas, but not the way you think. It's bad at coming up with the idea. It's great at tearing yours apart before you waste six mont ...

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AI in advertising examples: the stunts that go viral vs. the systems that make money

The best AI in advertising examples split into two groups. There are the stunts: flashy, viral campaigns like Heinz's AI Ketchup or Coca-Cola's AI Christmas ...

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AI in B2B marketing: where it helps, where it backfires

AI in B2B marketing works best when you point it at research and targeting, not at sending more emails. That's the short version. The longer version involves bu ...