Agents Fail Softly: Why One Good Demo Isn't Enough

AWS says the core quality problem with AI agents is that they fail softly: they return an answer that looks confident, reads fluently, and is wrong. Traditional software fails loudly. The challenge is not building agents that work once, but proving they keep working at scale across every sub-agent, every workflow, and every release. AWS describes building a continuous quality loop for production-ready agentic solutions at scale using Amazon Bedrock AgentCore.