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Comment by mritchie712 | Hacker News Reader

> I've built 12+ production AI agent systems across development, DevOps, and data operations

It's hard to make *one* good product (see startup failure rates). You couldn't make 12 (as seemingly a solo dev?) and you're surprised?

we've been working on Definite[0] for 2 years with a small team and it only started getting really good in the past 6 months.

0 - data stack + AI agent: https://www.definite.app/

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He didn't say he made 12 independent saleable products, he says he built 12 tools that fill a need at his job and are used in production. They are probably quite simple and do a very specific task as the whole article is telling us that we have to keep it simple to have something useable.

that's my point. He's "Betting Against AI Agents" without having taken a serious attempt at building one.

> agents that technically make successful API calls but can't actually accomplish complex workflows because they don't understand what happened.

It takes a long time to get these things right.

They've built 12+ products with a full time job for the last 3 years

Something seems off about that...

His full time job is building AI systems for others (and the article is a well written promo piece).

If most of these are one-shot deterministic workflows (as opposed of input-llm-tool loop usually meant by the current use of the term "ai agent"), it's not hard to assume you can build, test and deploy one in a month on average.

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