This hands-on workshop introduces participants to a powerful new direction in artificial intelligence: AI agent systems that can autonomously perform structured tasks, retrieve information, and execute multi-step workflows. Rather than using AI only for individual prompts and responses, participants will learn how modern AI platforms can be configured to act as personal AI assistants capable of automating complex information tasks.

The course centers on OpenClaw, an emerging AI agent platform that allows users to orchestrate language models, tools, and workflows into automated systems. Participants will explore how AI agents can access data sources, perform research, analyze information, and generate structured outputs with minimal manual intervention.

Through demonstrations and guided exercises, the workshop will show how to transform simple prompts into automated task pipelines. Participants will learn how AI agents can be instructed to gather data, perform analysis, summarize findings, and deliver results in a consistent and repeatable manner. These capabilities can support a wide range of real-world activities, including research assistance, data exploration, content preparation, knowledge management, and operational reporting.

The session will also introduce the core concepts behind agent-based AI systems, including task orchestration, tool integration, structured workflows, and responsible oversight. Participants will gain practical insight into how AI automation differs from traditional prompt-based usage and how organizations are beginning to adopt agent platforms to enhance productivity and decision support.

By the end of the workshop, participants will understand how to move from simple prompt interactions to structured AI-driven workflows, and how platforms such as OpenClaw can serve as a foundation for building personal or organizational AI assistants that automate information-intensive tasks while maintaining human guidance and control.