Automation Means Doing 100 Times When You can Do it Once
Use Iteration nodes and Batch Runs to save hours.
- Product
- Dify
- Sent from
- dify.ai
- Sent
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One Request at a Time is Fine for
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a Demo...
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Real operational value comes when your AI can handle an entire list of tasks in a single run - without you sitting there and clicking through each one.
**How it works:**
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**Parameter Extractor** parses a free-text input and pulls out a structured list. Example: one email with three questions → question_list as Array[String] with three elements.
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**Iteration Node** takes that array and runs your sub-process once per item. Inside the sub-process, {item} is the current element being processed.
[ **Add an Iteration Node**](https://cloud.dify.ai/apps?utm_medium=email&utm_source=brevo&utm_campaign=user_onboarding&utm_content=email_8 "Button title")
**Set Up Iteration in 4 Steps:**
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**Add Parameter Extractor after Start →** set Input to your text variable → add parameter question_list (type: Array[String]).
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**Add Iteration after the extractor →** set Input to question_list.
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**Inside the Iteration sub-process,** add Knowledge Retrieval (query: {item}) and an LLM node.
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**Set the Iteration ****Output**** Variable** to the LLM's text output - this collects all results into an array.
Need to process a large batch without changing your workflow? Use** Batch Run** - upload a CSV and Dify handles the rest.
**Helpful Resources**
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[Parameter Extractor](https://docs.dify.ai/en/use-dify/nodes/parameter-extractor)
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[Iteration Node](https://docs.dify.ai/en/use-dify/nodes/iteration)
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[Batch Run](https://docs.dify.ai/en/use-dify/publish/webapp/workflow-webapp#batch-processing)
We’re here to make your experience amazing. If you have any questions or feedback, feel free to reply to this email, we’d love to hear from you!
LangGenius, Inc.
101 Jefferson Drive, Menlo Park, CA 94025
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- nse/dify/2026-11-01/5844
- From
- Anne from Dify · welcome@dify.ai
- Sent
- 1 November 2026 · 21:00 UTC









