How AI Agents Actually Think in Workflows @StephenGPope
How AI Agents Actually Think in Workflows  @StephenGPope
Uploaded December 2025 | Updated September 2026, 1 hour ago
Most automations follow rigid, predefined paths. But AI agents don’t need that.
In this example, the agent reads natural language, figures out user intent, chooses the right tools, and fills in missing data—without you hard-coding the logic.
No more fragile chains of if-this-then-that. Just smart, adaptive systems that respond in real time.
If you’re still building static automations, you’re already behind.
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Stephen G. Pope |

How AI Agents Actually Think in Workflows

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