@hardmaru
Building AI agents for real world banking workflows is incredibly difficult. It requires structuring the implicit knowledge of veteran bankers. We just published a behind the scenes look at how our Applied Team built the MUFG AI Lending Expert. They explain how we adapted concepts from our research on ALE Agent and The AI Scientist to handle complex enterprise workflows. Taking AI from the lab to a major bank is not just about better prompts. The team even used AI to process nearly 1,500 pieces of human feedback, creating a high speed improvement loop that allowed the system to scale and adapt rapidly. This interview is a great look at the engineering and product culture we are building at Sakana AI. If you want to see how we tackle hard engineering challenges and build systems for mission critical environments, I highly recommend giving it a read. Blog (Japanese): https://t.co/RwyLKRHc4E