the boring part of AI agents nobody builds and everyone needs
Summary
A practitioner recounts how deploying AI agents in production required 80% engineering effort on workflow, ownership, and approval processes rather than the model itself, highlighting that the 'boring layer' of shared context and routing is critical for real-world impact.
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