Working on my 3rd production AI deployment. Everyone talks about “systems that learn from user feedback” but in practice I’m seeing:
Users correct errors
Errors get logged
Engineers review logs weekly
Engineers manually update model/prompts –
Repeat This is just “manual updates with extra steps,” not a real flywheel.
Question: Has anyone actually built a fully automated learning loop where corrections → automatic improvements without engineering?
Or is “self-improving AI” still mostly marketing?
Open to 20-min calls to compare approaches. DM me.
Comments URL: https://news.ycombinator.com/item?id=45757126
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Source: news.ycombinator.com
