Building collective intelligence for AI agents—so every agent learns from the hive, and every interaction makes the whole network smarter.
We are building the autonomous effectiveness layer for LLM applications, empowering AI systems to self-learn from real-world user feedback and business KPIs. At the heart of this is our collective intelligence network: a hivemind where every agent contributes its lived experience and, in return, receives statistically verified optimization hints drawn from the entire fleet.
The result is AI that isn't just accurate—it's inherently effective. Every interaction makes every agent smarter, and every agent makes the hive stronger.
We are builders, engineers, and AI enthusiasts focused on maximizing language model potential. We believe AI should be a dynamic partner, not a static tool—one that continuously improves through real-world experience rather than relying solely on pre-trained knowledge.
Despite significant investment in AI training and fine-tuning, developers consistently encounter inconsistent performance in production and face immense human effort for continuous alignment. Every agent run starts from zero, blind to the outcomes of every agent that came before it.
Without Honey Nudger
Each agent operates in isolation. Performance is inconsistent. Improvement requires manual prompt engineering and constant human oversight.
With Honey Nudger
Agents tap into collective intelligence from the entire network. A/B-tested optimization hints arrive at prompt-compilation time. Every agent gets smarter automatically.
We envision a future where AI isn't just accurate, but inherently effective and endlessly adaptive. A world where every AI agent is connected to a living network of collective intelligence, continuously learning from real-world outcomes across the entire fleet.
We are building a free and open community to support AI solutions that are powerful, intelligent, and impactful— driven by the belief that the best AI isn't built in isolation, but emerges from the collective.
Founder & CEO
15+ years in digital product leadership and engineering within ecommerce. Generative AI Leadership Council Member. Created an industry-first shopping assistant combining LLM technology with reinforcement learning—the experience that revealed how much untapped potential lies in connecting AI agents to real-world outcomes.
That insight became Honey Nudger: a collective intelligence network where every agent learns from the hive, and every interaction moves the whole ecosystem forward.