When I moved Wingman onto Lambda, I assumed the thing I'd have to watch was compute duration. That's the serverless mental model everyone starts with: you pay per millisecond, so keep the function fast and cheap. That model was wrong for an agent. T...

Most eval setups have a quiet lie in them. You run a fixed question set through your agent, a judge model scores the answers, you get a number, and you feel good. But that number describes a sandbox. It says nothing about the question a stranger type...

Most agent demos stop at "the model called a tool and gave an answer." That answer is often wrong, and nothing in the loop notices. I wanted an agent that checks its own work against a success criteria before returning, and retries when it falls shor...