Deconstructing Agentic AI

Move beyond the hype. This interactive guide provides a structured framework to evaluate and understand any "agentic" AI system. Explore the core principles, experiment with our interactive evaluator, and see how real-world use cases measure up on the spectrum of autonomy.

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The Four Pillars of Agency

Modern agentic systems are defined by four essential characteristics. Click on each pillar to learn more about the foundational concepts that enable AI to act with purpose and autonomy.

The Agentic Loop

Agentic behavior is not a single action but a continuous, iterative cycle. This loop is the engine that drives autonomous, goal-oriented behavior. Click each step to understand its role in the process.

Perception
Reasoning
Planning
Action
Learning

The Agentic AI Evaluator

Use this tool to classify any AI use case. Adjust the sliders for each of the five dimensions to see the system's "agentic fingerprint" update in real-time. Or, explore our pre-loaded case studies to see the framework in action.

Agentic Fingerprint

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How Agentic AI Differs

Agentic AI is often confused with other AI paradigms. This section provides clear, side-by-side comparisons to distinguish it from its precursors and look-alikes.

Strategic Implications

Accurately classifying an AI system isn't just academic—it's a strategic necessity. Understanding a system's level of agency has profound implications for risk, cost, and enterprise readiness.