Deep Research Agents: From Task-Specific Automation to Autonomous Partners

Deep Research (DR) agents are advanced AI systems designed to autonomously manage the entire research process, from ideation to execution, acting as proactive partners in knowledge discovery. Unlike traditional AI tools, DR agents create and execute multi-step plans, engage in iterative, multi-hop research using Agentic RAG, and operate as multi-agent systems with specialized roles for efficiency and scalability. They are goal-oriented, dynamically adapting to complex, open-ended problems, and transform raw data into polished, actionable insights, thereby redefining AI’s role in collaborative research and planning.

Building on Maxim’s talk about coding agents, this presentation on Deep Research agents highlights the next step in AI evolution: from task-specific automation to autonomous, goal-driven research partners.

About the speaker
As a technology leader with over 15 years of experience, Andrej applies his deep expertise in systems architecture to the emerging field of Deep Research AI agents. He believes the next frontier of AI is not just a prompt engineering challenge but a complex systems engineering problem, requiring robust, agentic workflows to solve real-world problems.