The real difference between agentic AI and generative AI | Decagon
Apr 23, 2026

Summary
This post defines and differentiates generative AI from agentic AI, outlining the key characteristics of agentic systems: goal decomposition, persistent state and memory, and autonomous tool selection. It contrasts these with generative AI's content creation capabilities and discusses the limitations and risks of agentic AI in production, such as cascading errors and security exposure, advocating for robust guardrails and oversight.
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