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Added use cases section in the docs (#2641)
* Started adding use cases pages * Updates * More improvements * Improved diagrams * Added overview page * More copy + diagram updates * Improved diagram titles * Further diagram improvements * Corrected workflow * Updated copy * Typos * Updated intro file * Reverted aiRunFilterService.server.ts
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‎docs/docs.json‎

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}
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]
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},
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{
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"group": "Use cases",
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"pages": [
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"guides/use-cases/overview",
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"guides/use-cases/data-processing-etl",
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"guides/use-cases/media-generation",
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"guides/use-cases/media-processing",
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"guides/use-cases/marketing"
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]
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},
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{
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"group": "Example projects",
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"pages": [

‎docs/guides/introduction.mdx‎

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<Card title="SvelteKit" img="/images/logo-svelte.png" href="/guides/community/sveltekit" />
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</CardGroup>
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import UseCasesCards from "/snippets/use-cases-cards.mdx";
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## Guides
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Get set up fast using our detailed walk-through guides.
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| [Using webhooks in Next.js](/guides/frameworks/nextjs-webhooks) | Trigger tasks from a webhook in Next.js |
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| [Using webhooks in Remix](/guides/frameworks/remix-webhooks) | Trigger tasks from a webhook in Remix |
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<UseCasesCards />
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## Example projects
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Example projects are full projects with example repos you can fork and use. These are a great way of learning how to use Trigger.dev in your projects.

‎docs/guides/use-cases/data-processing-etl.mdx‎

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---
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title: "Data processing & ETL workflows"
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sidebarTitle: "Data processing & ETL"
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description: "Learn how to use Trigger.dev for data processing and ETL (Extract, Transform, Load), including web scraping, database synchronization, batch enrichment and more."
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---
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import UseCasesCards from "/snippets/use-cases-cards.mdx";
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## Overview
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Build complex data pipelines that process large datasets without timeouts. Handle streaming analytics, batch enrichment, web scraping, database sync, and file processing with automatic retries and progress tracking.
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## Featured examples
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<CardGroup cols={3}>
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<Card
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title="Realtime CSV importer"
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icon="book"
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href="/guides/example-projects/realtime-csv-importer"
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>
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Import CSV files with progress streamed live to frontend.
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</Card>
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<Card title="Web scraper with BrowserBase" icon="book" href="/guides/examples/scrape-hacker-news">
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Scrape websites using BrowserBase and Puppeteer.
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</Card>
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<Card
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title="Supabase database webhooks"
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icon="book"
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href="/guides/frameworks/supabase-edge-functions-database-webhooks"
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>
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Trigger tasks from Supabase database webhooks.
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</Card>
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</CardGroup>
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## Benefits of using Trigger.dev for data processing & ETL workflows
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**Process datasets for hours without timeouts:** Handle multi-hour transformations, large file processing, or complete database exports. No execution time limits.
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**Parallel processing with built-in rate limiting:** Process thousands of records simultaneously while respecting API rate limits. Scale efficiently without overwhelming downstream services.
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**Stream progress to your users in real-time:** Show row-by-row processing status updating live in your dashboard. Users see exactly where processing is and how long remains.
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## Production use cases
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<CardGroup cols={1}>
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<Card title="MagicSchool AI customer story" href="https://trigger.dev/customers/magicschool-ai-customer-story">
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Read how MagicSchool AI uses Trigger.dev to generate insights from millions of student interactions.
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</Card>
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<Card title="Comp AI customer story" href="https://trigger.dev/customers/comp-ai-customer-story">
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Read how Comp AI uses Trigger.dev to automate evidence collection at scale, powering their open source, AI-driven compliance platform.
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</Card>
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<Card title="Midday customer story" href="https://trigger.dev/customers/midday-customer-story">
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Read how Midday use Trigger.dev to sync large volumes of bank transactions in their financial management platform.
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</Card>
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</CardGroup>
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## Example workflow patterns
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<Tabs>
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<Tab title="CSV file import">
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Simple CSV import pipeline. Receives file upload, parses CSV rows, validates data, imports to database with progress tracking.
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<div align="center">
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```mermaid
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graph TB
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A[importCSV] --> B[parseCSVFile]
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B --> C[validateRows]
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C --> D[bulkInsertToDB]
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D --> E[notifyCompletion]
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```
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</div>
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</Tab>
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<Tab title="Multi-source ETL pipeline">
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**Coordinator pattern with parallel extraction**. Batch triggers parallel extraction from multiple sources (APIs, databases, S3), transforms and validates data, loads to data warehouse with monitoring.
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<div align="center">
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```mermaid
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graph TB
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A[runETLPipeline] --> B[coordinateExtraction]
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B --> C[batchTriggerAndWait]
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C --> D[extractFromAPI]
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C --> E[extractFromDatabase]
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C --> F[extractFromS3]
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D --> G[transformData]
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E --> G
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F --> G
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G --> H[validateData]
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H --> I[loadToWarehouse]
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```
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</div>
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</Tab>
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<Tab title="Parallel web scraping">
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**Coordinator pattern with browser automation**. Launches headless browsers in parallel to scrape multiple pages, extracts structured data, cleans and normalizes content, stores in database.
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<div align="center">
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```mermaid
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graph TB
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A[scrapeSite] --> B[coordinateScraping]
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B --> C[batchTriggerAndWait]
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C --> D[scrapePage1]
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C --> E[scrapePage2]
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C --> F[scrapePageN]
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D --> G[cleanData]
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E --> G
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F --> G
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G --> H[normalizeData]
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H --> I[storeInDatabase]
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```
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</div>
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</Tab>
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<Tab title="Batch data enrichment">
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**Coordinator pattern with rate limiting**. Fetches records needing enrichment, batch triggers parallel API calls with configurable concurrency to respect rate limits, validates enriched data, updates database.
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<div align="center">
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```mermaid
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graph TB
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A[enrichRecords] --> B[fetchRecordsToEnrich]
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B --> C[coordinateEnrichment]
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C --> D[batchTriggerAndWait]
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D --> E[enrichRecord1]
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D --> F[enrichRecord2]
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D --> G[enrichRecordN]
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E --> H[validateEnrichedData]
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F --> H
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G --> H
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H --> I[updateDatabase]
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```
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</div>
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</Tab>
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</Tabs>
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<UseCasesCards />

‎docs/guides/use-cases/marketing.mdx‎

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---
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title: "Marketing workflows"
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sidebarTitle: "Marketing"
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description: "Learn how to use Trigger.dev for marketing workflows, including drip campaigns, behavioral triggers, personalization engines, and AI-powered content workflows"
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---
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import UseCasesCards from "/snippets/use-cases-cards.mdx";
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## Overview
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Build marketing workflows from email drip sequences to orchestrating full multi-channel campaigns. Handle multi-day sequences, behavioral triggers, dynamic content generation, and build live analytics dashboards.
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## Featured examples
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<CardGroup cols={3}>
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<Card
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title="Email sequences with Resend"
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icon="book"
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href="/guides/examples/resend-email-sequence"
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>
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Send multi-day email sequences with wait delays between messages.
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</Card>
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<Card
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title="Product image generator"
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icon="book"
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href="/guides/example-projects/product-image-generator"
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>
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Transform product photos into professional marketing images using Replicate.
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</Card>
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<Card
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title="Human-in-the-loop workflow"
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icon="book"
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href="/guides/example-projects/human-in-the-loop-workflow"
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>
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Approve marketing content using a human-in-the-loop workflow.
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</Card>
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</CardGroup>
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## Benefits of using Trigger.dev for marketing workflows
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**Delays without idle costs:** Wait hours or weeks between steps. Waits over 5 seconds are automatically checkpointed and don't count towards compute usage. Perfect for drip campaigns and scheduled follow-ups.
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**Guaranteed delivery:** Messages send exactly once, even after retries. Personalized content isn't regenerated on failure.
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**Scale without limits:** Process thousands in parallel while respecting rate limits. Send to entire segments without overwhelming APIs.
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## Production use cases
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<Card title="Icon customer story" href="https://trigger.dev/customers/icon-customer-story">
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Read how Icon uses Trigger.dev to process and generate thousands of videos per month for their AI-driven video creation platform.
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</Card>
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## Example workflow patterns
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<Tabs>
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<Tab title="Drip email campaign">
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Simple drip campaign. User signs up, waits specified delay, sends personalized email, tracks engagement.
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<div align="center">
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```mermaid
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graph TB
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A[userCreateAccount] --> B[sendWelcomeEmail]
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B --> C[wait.for 24h]
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C --> D[sendProductTipsEmail]
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D --> E[wait.for 7d]
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E --> F[sendFeedbackEmail]
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```
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</div>
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</Tab>
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<Tab title="Multi-channel campaigns">
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**Router pattern with delay orchestration**. User action triggers campaign, router selects channel based on preferences (email/SMS/push), coordinates multi-day sequence with delays between messages, tracks engagement across channels.
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<div align="center">
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```mermaid
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graph TB
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A[startCampaign] --> B[fetchUserProfile]
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B --> C[selectChannel]
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C --> D{Preferred<br/>Channel?}
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D -->|Email| E[sendEmail1]
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D -->|SMS| F[sendSMS1]
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D -->|Push| G[sendPush1]
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E --> H[wait.for 2d]
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F --> H
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G --> H
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H --> I[sendFollowUp]
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I --> J[trackConversion]
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```
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</div>
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</Tab>
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<Tab title="AI content with approval">
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**Supervisor pattern with approval gate**. Generates AI marketing content (images, copy, assets), pauses with wait.forToken for human review, applies revisions if needed, publishes to channels after approval.
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<div align="center">
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```mermaid
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graph TB
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A[createCampaignAssets] --> B[generateAIContent]
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B --> C[wait.forToken approval]
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C --> D{Approved?}
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D -->|Yes| E[publishToChannels]
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D -->|Needs revision| F[applyFeedback]
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F --> B
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```
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</div>
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</Tab>
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<Tab title="Survey response enrichment">
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**Coordinator pattern with enrichment**. User completes survey, batch triggers parallel enrichment from CRM/analytics, analyzes and scores responses, updates customer profiles, triggers personalized follow-up campaigns.
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<div align="center">
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```mermaid
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graph TB
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A[processSurveyResponse] --> B[coordinateEnrichment]
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B --> C[batchTriggerAndWait]
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C --> D[fetchCRMData]
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C --> E[fetchAnalytics]
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C --> F[fetchBehaviorData]
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D --> G[analyzeAndScore]
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E --> G
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F --> G
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G --> H[updateCRMProfile]
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H --> I[triggerFollowUp]
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```
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</div>
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</Tab>
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</Tabs>
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<UseCasesCards />

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