Developer discovers that automating their job reveals organizational and workflow problems, not technical limitations

Engineer successfully built an AI system capable of performing their job end-to-end, proving technical feasibility wasn't the barrier

The real obstacles encountered were organizational, process-related, and cultural challenges within the workplace

Implementation revealed inefficiencies and unclear workflows that the automation process exposed

The experience suggests that job automation failures are often due to business factors rather than AI capabilities