@Python_Dv Ignoring the offline experience leaves a huge gap in customer understanding... it's often where loyalty truly forms.
@Python_Dv this distinction is crucial, adaptability and autonomy really set agentic ai apart. this thought process adds depth to our understanding of ai's role in security.
@Python_Dv This is the shift that’s coming fast — from task bots to agents that actually act. Infra like AGNT Connect is where that jump happens: taking an agent from “here’s an answer” to “here’s the transaction, done.”
@Python_Dv The key difference seems to be that AI agents are like specialized tools while agentic AI is more like building actual intelligence that can think and adapt.
@Python_Dv Deploy once, run everywhere. @agnt_hub Connect makes omnichain agents feel like plug-and-play.
@Python_Dv AI Agents ≠ Agentic AI—and that gap matters as security gets more complex. Task-based tools can’t handle real-time threats. Agentic AI brings autonomy, adaptability & context—key for zero trust & modern security ops. How do you see it shaping critical systems? 👇
@Python_Dv nice chart, clear contrast. agentic ai definitely seems more equipped for real-world challenges. adaptability is key.