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[Video] What AI is Good For Right Now

Brent Ozar, a database expert and creator on Teachable, discussed with Teachable Managing Director Giovana Carvalho the current strengths and weaknesses of AI, noting that AI excels at providing feedback on questions with clear answers and generating creative inspiration, but struggles with precise factual queries like counting letters in words or solving math problems. Ozar also shared his experience at a Teachable event where other creators demonstrated advanced AI integration, such as training Claude Code to replicate their writing style for team-wide consistency.

read2 min views1 publishedJul 17, 2026
[Video] What AI is Good For Right Now
Image: Brentozar (auto-discovered)

This isn’t specifically database-related, but it’s the kind of thing I’m really into, so maybe you’re into it too.

I sat down with Giovana Carvalho, the Managing Director at Teachable, the e-commerce platform I use to sell training classes, and we chatted about what AI is good for these days, and where its rough edges are.

If a question has a black-and-white answer, and you’ve *got* an answer, and you want feedback on it, AI is fantastic.

If the question *doesn’t* have a black-and-white answer, and you’re looking for inspiration, AI is also fantastic. It’ll give you ideas for angles that you wouldn’t have thought of before, or analogies to use.

But if a question does have a black-and-white answer – like “how many Rs are in the word ‘strawberry'” or a math problem – then AI isn’t a good fit. It’s not that it can’t do those things – it’s just not the strong point of what you use LLMs for.

I always love chatting with the Teachable team, and the other creators who are on Teachable. I was in Rome for one of their Collective events where they gather top creators from around the world, and I always feel like a n00b in those events. The other creators are night-and-day beyond me – for example, one of them had taught Claude Code to write in his exact style, and had then checked in those skills into Github, so his other team members could leverage that exact same style, and everything they did would have a consistent style & voice, including new team members and contractors.

<gulp> I still have a lot of catching up to do.

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