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Dynamic Form with AI

19 nodes · lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut

Engine
n8n
Nodes
19
Trigger
scheduled/triggered
Source file
1784_Splitout_Filter_Automation_Triggered.json

Workflow flow

IntegrationsLmChatOpenAiFormOutputParserStructuredFilterChainLlmSplit OutAggregate@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.outputParserStructured@n8n/n8n-nodes-langchain.chainLlmSet
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

Get Basic Information

Form

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Get Business Overview

Form

Analyse Response

@n8n/n8n-nodes-langchain.chainLlm

Split Out Analysis

Split Out

Remove Already Answered Questions

Filter

Prepare For Form Generation

Set

Aggregate For Form Generation

Aggregate

Clarification Questions

Form

End Form

Form

11 steps · flows top to bottom, branches left to right

Browse by integration

lmChatOpenAiformoutputParserStructuredfilterchainLlmsplitOutaggregate
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Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: Dynamic Form with AI. 19 nodes across lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

This n8n workflow, "Dynamic Form with AI", wires together lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate in 19 nodes. 19 nodes · lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
  • Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
  • Import "Dynamic Form with AI" into n8n, reconnect credentials for lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate, and run the same automation in your own workspace.
  • Use it as a starting template when wiring lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "Dynamic Form with AI" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate. Reconnect the lmChatOpenAi credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Dynamic Form with AI" JSON into a plain-English runbook, node by node. It can flag where lmChatOpenAi rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Dynamic Form with AI" — extract lmChatOpenAi IDs and secrets into environment variables without changing the 19-node structure.

Frequently asked questions

How do I import "Dynamic Form with AI" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Dynamic Form with AI" use?
It uses: lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate. The flow diagram above shows how each service connects across the 19 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatOpenAi and form credentials in n8n after import.
What trigger type does "Dynamic Form with AI" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Dynamic Form with AI" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for lmChatOpenAi, form, outputParserStructured, filter, chainLlm, splitOut, aggregate.

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