Most AI Agents Fail Because They Are Built Like Chatbots
A recurring pattern dominates the current AI wave: developers are building autonomous agents as if they are just conversational chatbots equipped with a tool-calling layer.
This approach is perfect for a quick proof-of-concept or an impressive investor demo. It allows a model to look around a workspace, pull information from a vector index, and trigger a couple of mock APIs during a single chat session.
But this architecture falls apart the moment you attempt to deploy it into production for complex, multi-day enterprise workflows.
Chat history is not a substitute for core application infrastructure. When an automated system relies entirely on a rolling text window to understand its progress, it is built on a foundation of shifting sand. To build AI software that businesses can actually trust, we have to stop treating agents like conversational partners and start building them like structured operating systems.
The Session Persistence Wall
The fundamental...
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