The development and deployment of agent-based applications of generative AI requires a combination of frameworks, platforms, orchestration tools and cloud infrastructures. Here is a selection of the most relevant tools for creating this type of application.

We can easily consider the agentic application of generative AI as a new paradigm in artificial intelligence and software development. This paradigm goes beyond simple user-language model interaction and introduces concepts of autonomy, decision-making and the execution of complex tasks without constant human intervention.

This article explores the integration of AI agents, focusing on process automation, autonomous decision-making and customer interaction. It addresses the challenges of scalability, ethics and data management, while defining a roadmap for the development and integration of AI solutions.

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