Module 01 — 0.5 Hour
AI Agents vs Chatbots
Understanding the architectural and behavioral differences between reactive chat interfaces and autonomous AI agents — with honest expectations about where today's tools actually deliver.
Learning Objectives
- Explain the key differences between a reactive chatbot and a proactive AI agent.
- Describe the core components of an AI agent framework — memory, tools, channels, and skills.
- Set realistic expectations about what current AI agent tools can and cannot do.
Topics Covered
What is an AI Agent?
An overview of how AI agents differ from standard chat interfaces, including the ability to take actions, run on a schedule, and maintain memory across conversations.
OpenClaw Architecture
A breakdown of how OpenClaw connects a language model to messaging platforms, skills, and external APIs, using a gateway and plugin system.
The Hype vs Reality Gap
An honest look at where AI agent tools like OpenClaw deliver genuine value and where they fall short, including cost considerations and setup complexity.
Where OpenClaw Fits
A comparison of OpenClaw against alternatives like n8n, Zapier, and direct API integrations, and which use cases benefit most from each approach.