Webinar AI

When AI Agents Collaborate:From Single Agents to Self-Improving Systems

Date: June 4

Time : 17:00 (GMT+2)

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You will learn about:

In this webinar, we will explore how AI systems evolve from single agents to collaborative multi-agent architectures and, ultimately, to self-improving systems. Through a hands-on example, we will progressively build a solution that starts with a simple agent and scales into a multi-agent setup, highlighting the limitations and trade-offs at each stage.

Single‑agent systems capabilities & limits

Self‑improving agents

Evaluation, reflection & memory

Where:

Zoom

Language:

English

Duration:

1 hour

About speaker

Carlos Castro Rey,
Senior Machine Learning Engineer at Intellias

Senior Machine Learning Engineer with 7 years of experience delivering data-driven solutions across machine learning and AI systems. Designs and builds production-grade ML and agent-based systems across the full lifecycle, from data processing and model development to deployment, scalability, and monitoring.Recently focused on generative AI and agent-based architectures, including multi-agent systems, with an emphasis on building AI solutions thatoperatereliably in real-world environments.