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Improved diagram titles
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docs/guides/use-cases/data-processing-etl.mdx

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## Example worfklow patterns
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<Tabs>
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<Tab title="CSV import">
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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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</div>
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</Tab>
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<Tab title="ETL pipeline">
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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>
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</Tab>
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<Tab title="Web scraping">
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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>
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</Tab>
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<Tab title="Batch enrichment">
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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">

docs/guides/use-cases/marketing.mdx

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</div>
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</Tab>
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<Tab title="Multi-channel">
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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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D -->|Email| E[sendEmail1]
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D -->|SMS| F[sendSMS1]
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D -->|Push| G[sendPush1]
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D -->|Social media post| G[postToX1]
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E --> H[wait.for 2d]
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F --> H
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</div>
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</Tab>
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<Tab title="Content approval">
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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.for for human review, applies revisions if needed, publishes to channels after approval.
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</div>
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</Tab>
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<Tab title="Survey analysis">
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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">

docs/guides/use-cases/media-generation.mdx

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## Example worfklow patterns
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<Tabs>
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<Tab title="Image generation">
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<Tab title="AI image generation">
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Simple AI image generation. Receives prompt and parameters, calls OpenAI DALL·E 3, post-processes result, uploads to storage.
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</Tab>
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<Tab title="Batch generation">
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<Tab title="Batch image generation">
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**Coordinator pattern with rate limiting**. Receives batch of generation requests, coordinates parallel processing with configurable concurrency to respect API rate limits, validates outputs, stores results.
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</Tab>
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<Tab title="Multi-step pipeline">
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<Tab title="Multi-step image enhancement">
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**Coordinator pattern with sequential processing**. Generates initial content with AI, applies style transfer or enhancement, upscales resolution, optimizes and compresses for delivery.
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</Tab>
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<Tab title="Human-in-the-loop">
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<Tab title="AI content with approval">
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**Supervisor pattern with approval gate**. Generates AI content, pauses execution with wait.for to allow human review, applies feedback if needed, publishes approved content.
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<div align="center">

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