Event-Driven AI Agent Workflows with OpenClaw
Most AI agent tutorials show you how to build a chatbot that responds when you type something. That is fine for a demo. But production agents need to work without you standing over them. They need ...
Source: DEV Community
Most AI agent tutorials show you how to build a chatbot that responds when you type something. That is fine for a demo. But production agents need to work without you standing over them. They need to react to events: a new email arrives, a deploy finishes, a scheduled time hits, a health check fails. This guide covers the three core event-driven patterns in OpenClaw and how to wire them into real workflows. Why Event-Driven Matters for AI Agents A chatbot waits for input. An agent acts on triggers. The difference between these two approaches determines whether your AI setup is a toy or a tool. Consider what a production agent actually needs to do: Check email every 30 minutes and flag urgent messages Run a deployment pipeline when code is pushed to main Monitor API uptime and alert you when something breaks Publish scheduled social media posts at specific times Process incoming webhook data from third-party services None of these start with "the user typed a message." They start with a
