Agents Aren't Always the Answer: The Case for AI Workflows
Achieve high ROI and dependable outcomes by embedding AI innovation within structured workflows.
Autonomous AI agents are cool and exciting, but achieving reliable results and good value often works best with a more structured approach. Integrating AI into defined workflows offers more predictability, control, and faster deployment compared to the complexities and risks found in current agent systems. I examine the key differences between AI workflows and agents, making the case for focusing on structured automation for most essential applications and reserving agent systems for scenarios where their inherent unpredictability is acceptable and justified.
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