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Most AI agents work in the lab, then fail in production. The fix? Manual annotation, endless prompt tuning, and praying. We built Honey Nudger to move the industry from prompt engineering to "performance engineering." Instead of hand-labeling edge cases, your AI agents learn continuously from their own experience — self-improving based on what actually moves the metrics you care about. Stop tuning. Start learning.
Honey NudgerRecursive Self-Learning For Agents
Daniel Carpenterleft a comment
Hey Product Hunt! 🍯🐝 I'm Dan, and I built HoneyNudger because I was drowning in "Annotation Hell." I kept hitting the same wall: I designed one of the first LLM+RL shopping assistants in production a few years ago. Every time, the story was identical — brilliant in the lab, broken at scale. We'd patch it with manual annotation and pray. Rinse, repeat. It felt fundamentally wrong. We're training...
Honey NudgerRecursive Self-Learning For Agents