Why One AI Agent Isn't Enough: Subagent Delegation and Context Drift

TL;DR One AI agent handling everything can become a single point of failure. Context drift leads to inaccuracies as tasks extend. Delegate tasks to subagents for better focus and reliability. Isolation of tasks helps to manage complexity in workflows. There comes a moment in your AI journey when the initial magic starts to fade. You begin with a gleeful experience: your AI agent can research, summarize, and throw together documentation like it’s nothing. But then, as you progress through longer, more complex tasks, things start to get derailed. You watch as the agent references constraints it pulled from nowhere, redoes work it has already completed, or presents contradicting outputs. You’re left scratching your head, questioning where everything went wrong because the agent should know better. Spoiler: context drift is likely the culprit, and no, a better prompt won’t fix it. Understanding Context Drift A language model doesn’t “remember” like a database does. Instead, it relies on a