AI has rapidly evolved from prompt-based interactions to systems capable of executing complex, multi-step tasks. However, most real-world workflows still rely on manual orchestration, brittle scripts, or disconnected tools.
This session introduces OpenClaw, a framework for building always-on autonomous AI agent teams that can plan, execute, and iterate on tasks with minimal human intervention. Instead of treating AI as a tool, OpenClaw enables the design of systems where multiple agents collaborate, use tools, retain context, and continuously improve outcomes.
Through a beginner-friendly walkthrough, attendees will learn:
1. What agentic AI systems are and how they differ from traditional prompt-based approaches
2. How to design and orchestrate multi-agent workflows
3. How to automate routine processes across engineering and data-driven environments
Key building blocks: agents, tools, memory, and coordination
The session will include a live demonstration showcasing how an autonomous agent team can take a high-level goal, break it into tasks, execute across multiple steps, and deliver structured outputs.
By the end of the session, participants will gain a practical mental model and starting point to build their own autonomous AI systems using OpenClaw—shifting from isolated AI usage to continuous, intelligent workflows.
By engineers, for engineers: A technically grounded guide to the rapidly evolving in-cabin technology industry and companies.
