From Agent Error to Team Capability: A Systematic Improvement Framework
The article presents a systematic framework for converting AI agent errors into reusable team capabilities by tracing root causes across requirements, design, context, implementation, and testing, then codifying fixes as templates, executable test cases, and maintained tools with defined scope and validation steps.
