Beyond the Demo: Why AI Agents Are Failing in the 'Engine Room'

As AI adoption shifts from polished prototypes to real-world production, companies are hitting a wall where 85% of the work involves handling unpredictable edge cases and operational hardening. Success depends on documenting niche fixes to prevent mounting technical debt and managing agent libraries as a strategic portfolio rather than a collection of tools.