AI agent design patterns
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Single Agent: Simplicity vs. Control
The single agent pattern is the most fundamental, offering simplicity for straightforward multi-step tasks by relying on the model's reasoning. However, its primary weakness is a lack of control, making it unreliable for complex workflows where behavior can become unpredictable.
Recap: Agent Pattern Trade-offs
The video recaps the trade-offs: single agents are simple but lack control; sequential agents offer control but are inflexible; and parallel agents are fast and efficient for independent tasks but add complexity and cost. These patterns form the building blocks for powerful AI workflows.
