Agentic AI: The Architecture of Recursive Workflows
Agentic AI represents the shift from ‘Ask-Answer’ to ‘Objective-Execution.’ This manual explains how to build agents that self-correct and iterate.
1. The Recursive Loop Framework
Build agents that don’t stop until the goal is met. This requires a Loop-Back Mechanism where the agent compares its output to the original objective.
How-To: Define a ‘Success Metric’ in your system prompt. Instruct the agent: “If the output does not meet [Metric X], regenerate and explain the failure.”
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