Neon, a serverless database with features like connection pooling and automatic scaling, is enhancing its capabilities by integrating with Inngest to facilitate serverless triggers. This integration leverages Neon's Logical Replication to initiate serverless functions, such as Vercel Functions and AWS Lambdas, in response to database changes. This blog post explores several use cases for these serverless triggers, including AI workflow prototyping, ETL pipeline streaming, and user onboarding workflows. By utilizing Inngest's functionality, developers can efficiently manage AI workflows, automate ETL processes, and implement user onboarding features with minimal code. The integration also supports retriable and cached steps to improve workflow reliability and allows for the addition of concurrency and throttling policies. Furthermore, it provides flexibility for including human feedback in AI workflows and offers a deployable open-source example of an AI agent built with Neon and Inngest.