If you're putting Agents into the wild, you need to know when they go AGI.
Okay maybe not full AGI... but definitely when something breaks.
We just launched Okareo Error Reporting on Product Hunt built to help teams detect, debug, and recover from LLM/Agent errors fast. No more flying blind in production.
I m Matt, CEO & Co-founder of Okareo, and I ll be hanging out in the comments today doing an AMA. Ask me anything LLM ops, error detection strategies, startup life, whatever s on your mind.
Let s dig in: https://www.producthunt.com/post...
Real-time LLM behavioral alerts and structured debugging for agents and RAGs
Both the user interface and the integration of the platform are exceptionally smooth, which allows you to focus on what really matters in your system. OKAREO is immensely helpful to see what's going on under the hood. I have used OKAREO with RAG and it has been helpful to gain a better understanding of the strengths and opportunities for improvement of my system. Also, the technical support of OKAREO is impressive, they have provided solutions to all my questions to build my evaluation pipelines, and they gave me good advice to improve my product.
Okareo is a game-changer for AI teams. I’ve tried a bunch of tools for tuning and evals, but Okareo stands out. Highly recommend!
The real-time behavioral alerts and structured debugging for LLMs and agents are incredibly useful for enhancing system performance and identifying issues early. This feature provides a comprehensive approach to ensuring smooth operation and debugging, which is essential for developing reliable AI systems.
🚀 Super excited about this launch! A single platform where you can analyze, test, observe, evaluate, and fine-tune AI features without jumping between tools. This is going to save so much time and bring clarity to the development process