I used to have one AI assistant. It did everything — coded, wrote docs, answered questions, monitored my inbox.
It was fine. But "fine" isn't the same as "good." One model trying to be a generalist meant it was mediocre at everything. Context bloat. Conflicting instructions. The coding advice was too cautious. The writing was too robotic. The inbox monitoring missed nuance because the model was busy trying to remember my entire codebase.
So I split it into three. Each with a different personality, different model, different job. And it actually works better.
The Problem with One Agent to Rule Them All
When you have one AI doing everything, you run into three problems fast:
