Overview

The rise of Agentics is reshaping how we build Conversational AI Agents. Driven by LLM models, the upcoming age of Conversational AI introduces a new paradigm that shifts how AI Agents are built, through intuitive prompts, delivering better and a more fluid experience.

What is an AI Agent?

AI Agents represents a new paradigm in conversational AI, moving beyond traditional virtual agents that often rely on rigid scripts. This innovative approach allows for the creation of AI Agents capable of engaging in complex, fluid, and dynamic conversations, significantly enhancing user experience.

This architecture allows for more complex problem-solving capabilities and a more natural division of responsibilities, similar to how human teams operate with different areas of expertise working under coordinated leadership.

AI Agents core anatomy

New Approach

Agentics is a new way of creating AI Agents driven by LLM models that differs from traditional intent-rule-based systems in that it can autonomously make decisions and take actions to achieve complex goals.

This new approach is more modular: by writing prompts, you now create a Project that houses a Supervisor responsible for processing user inputs, analyzing requests, and delegating them to the appropriate specialized Agent. By understanding context and learning from interactions, these agents can adapt their responses to meet individual user needs . That way, it delivers a more flexible and intelligent solution.​