Planet Storyline has published an article by Yuri Gubin, Chief Innovation Officer at DataArt, on the rise of Agentic AI and its advantages over GenAI in delivering modular, task-specific solutions.
“This ‘divide and conquer’ method is proven. In enterprise architecture, we’ve seen this concept evolve over the years. Microservices, which replaced monolithic systems, brought benefits like scalability, better isolation, and higher quality in individual components. This model improves testing and results in more specialized, higher-quality output.”
“One of the main downsides of using multiple AI agents is the inherent need for determinism in generative AI. When you submit a prompt, the model responds. However, if you ask the same question again, the response may differ—sometimes factually the same, sometimes not, but framed or expressed differently. This variability can lead to hallucinations, biases, and factual errors.”
“Transitioning from conversational AI and chatbots to systems that can execute tasks autonomously is a significant step forward. We’re already seeing AI generate code and solve problems, but the next step is creating an engine that can act on that code, like interacting with APIs in real-time, as if it were a human performing the task.”
Read the full article here.
