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> 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).
by mritchie712 1y ago
> 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/ https://www.definite.app/
- AstroBen 1y agoThey've built 12+ products with a full time job for the last 3 years Something seems off about that...
- senko 1y agoHis 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.
- Rexxar 1y agoHe 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.
- mritchie712 1y agothat'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.