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0323_Manual_Stickynote_Process_Triggered

11 nodes · manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured

Engine
n8n
Nodes
11
Trigger
scheduled/triggered
Source file
0323_Manual_Stickynote_Process_Triggered.json

Workflow flow

IntegrationsManualChainLlmLmChatOpenAiOutputParserAutofixingOutputParserStructured@n8n/n8n-nodes-langchain.chainLlmSet@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.outputParserAutofixing@n8n/n8n-nodes-langchain.outputParserStructured
100%
TRIGGER

When clicking "Execute Workflow"

Manual

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Auto-fixing Output Parser

@n8n/n8n-nodes-langchain.outputParserAutofixing

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Prompt

Set

Basic LLM Chain

@n8n/n8n-nodes-langchain.chainLlm

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

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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

0323_Manual_Stickynote_Process_Triggered (11-node n8n automation, manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"0323_Manual_Stickynote_Process_Triggered" automates a manual-to-chainLlm flow in n8n across 11 nodes. 11 nodes · manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Benchmark it against your current manual integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 11-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
  • Study how data moves from manual to chainLlm before building your own variant.

Example output

Imported into n8n, "0323_Manual_Stickynote_Process_Triggered" exposes 11 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured. Set your credentials on the manual node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "0323_Manual_Stickynote_Process_Triggered" into Claude and ask it to explain each of the 11 nodes. Claude is good at suggesting credential mappings for manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "0323_Manual_Stickynote_Process_Triggered" to your accounts — which manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 11 nodes.

Frequently asked questions

How do I import "0323_Manual_Stickynote_Process_Triggered" 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 "0323_Manual_Stickynote_Process_Triggered" use?
It uses: manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured. The flow diagram above shows how each service connects across the 11 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 manual and chainLlm credentials in n8n after import.
What trigger type does "0323_Manual_Stickynote_Process_Triggered" 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 "0323_Manual_Stickynote_Process_Triggered" 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 manual, chainLlm, lmChatOpenAi, outputParserAutofixing, outputParserStructured.

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