Exploring AI Agents and Their Future Role in Drupal and the Open Web

Alejandro Moreno López shared a blog post reflecting on his ongoing exploration of artificial intelligence, particularly focusing on the emerging capabilities of AI agents. He outlines a shift from conventional chatbots and large language models (LLMs), which respond to user prompts, toward more autonomous AI agents that can set goals, plan, and act without continuous human input. This distinction, he notes, marks a significant evolution in how AI is being applied, including its implications for platforms like Drupal and the open web.

In the post, Alejandro contrasts reactive LLM-based tools, often enhanced through retrieval-augmented generation (RAG), with proactive AI agents capable of multi-step reasoning and task execution. These agents represent a broader move toward automation, where systems not only generate responses but also initiate actions and follow through on objectives. This shift has potential utility for content platforms, workflows, and user engagement strategies.

To support further learning, Alejandro recommends three video resources. These include Jeff Su’s overview of AI agents, a talk by Barry Zhang from Anthropic on building effective agent systems, and a panel discussion from Anthropic offering practical tips and considerations.