Building a Next.js text summarizer with Trigger.dev and Gemini AI

Modern Next.js applications can use Trigger.dev to run long-running or failure-prone AI work outside HTTP request lifecycles, avoiding execution limits and allowing users to receive results asynchronously. The tutorial builds a Gemini-powered text summarizer by defining a durable Trigger.dev task that validates text input, calls the Google Gemini API, records progress metadata, and automatically retries failures with exponential backoff. A Next.js Server Action performs initial validation and queues the task, returning a run ID and scoped public token rather than waiting for completion, while a React client uses Trigger.dev’s `useRealtimeRun` hook to observe the task’s status and display its completed summary. The setup requires configuring Trigger.dev and Gemini credentials, running both Next.js and the Trigger.dev development worker locally, and deploying tasks separately to Trigger.dev’s cloud runtime. The approach is intended for AI generation, media processing, reliable webhooks, scheduled jobs, and multi-step workflows that need retries, logging, execution history, progress tracking, and independence from the original user request.

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