How to make AI agents react to API webhooks

Event-driven AI agents are designed to respond to changes in external systems in near real-time, rather than waiting for user prompts. These agents are essential for automating workflows that need to react immediately to events such as CRM updates, support tickets, team messaging, code reviews, payment failures, and file processing. The push model, which uses webhooks and event streams, is preferred over polling due to its efficiency and speed, allowing agents to act without unnecessary API calls. Integration platforms like Nango facilitate these processes by providing a framework for handling webhooks, verifying signatures, and ensuring data syncs, thus allowing engineers to focus on the core logic of their applications rather than the underlying infrastructure. This approach enables dynamic, just-in-time integrations that can be developed on demand, enhancing the scalability and flexibility of AI agents in various domains.

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