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0762_Aggregate_Stickynote_Create_Triggered

27 nodes · executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate

Engine
n8n
Nodes
27
Trigger
scheduled/triggered
Source file
0762_Aggregate_Stickynote_Create_Triggered.json

Workflow flow

IntegrationsExecuteWorkflowOutputParserStructuredAgentLmChatAzureOpenAiAggregate@n8n/n8n-nodes-langchain.outputParserStructured@n8n/n8n-nodes-langchain.agentSet@n8n/n8n-nodes-langchain.lmChatAzureOpenAiMerge
100%
TRIGGER

Execute Workflow Trigger

ExecuteWorkflow

Structured Output Parser1

@n8n/n8n-nodes-langchain.outputParserStructured

Structured Output Parser2

@n8n/n8n-nodes-langchain.outputParserStructured

Azure OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatAzureOpenAi

Azure OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatAzureOpenAi

Azure OpenAI Chat Model2

@n8n/n8n-nodes-langchain.lmChatAzureOpenAi

Structured Output Parser3

@n8n/n8n-nodes-langchain.outputParserStructured

Create User Prompt

Set

Marketing AI Agent Processor

@n8n/n8n-nodes-langchain.agent

Product AI Agent Processor

@n8n/n8n-nodes-langchain.agent

AI Agent

@n8n/n8n-nodes-langchain.agent

Data Recall Sales

Set

Data Recall Marketing

Set

Data Recall Product

Set

Sales Data Processor

ExecuteWorkflow

Marketing Data Processor

ExecuteWorkflow

Product AI Data Processor

ExecuteWorkflow

SF Sales Data Processor

ExecuteWorkflow

Merge all processed data

Merge

Bundle processed Data

Aggregate

Success Status Generated

Set

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

Browse by integration

executeWorkflowoutputParserStructuredagentlmChatAzureOpenAiaggregate
Browse all integrations →
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: 0762_Aggregate_Stickynote_Create_Triggered. 27 nodes across executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "0762_Aggregate_Stickynote_Create_Triggered" chains 27 nodes to move data between executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate. 27 nodes · executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate Execution begins at the scheduled/triggered trigger and flows through the 27 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Study how data moves from executeWorkflow to outputParserStructured before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the executeWorkflow stack.
  • Import "0762_Aggregate_Stickynote_Create_Triggered" into n8n, reconnect credentials for executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate, and run the same automation in your own workspace.
  • Use it as a starting template when wiring executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "0762_Aggregate_Stickynote_Create_Triggered" exposes 27 configured nodes. Trigger type: scheduled/triggered. Integrations: executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate. Open each node after import to map credentials to your own executeWorkflow and outputParserStructured accounts. 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 "0762_Aggregate_Stickynote_Create_Triggered" JSON into a plain-English runbook, node by node. It can flag where executeWorkflow 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 executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "0762_Aggregate_Stickynote_Create_Triggered" — extract executeWorkflow IDs and secrets into environment variables without changing the 27-node structure.

Frequently asked questions

How do I import "0762_Aggregate_Stickynote_Create_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 "0762_Aggregate_Stickynote_Create_Triggered" use?
It uses: executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate. The flow diagram above shows how each service connects across the 27 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 executeWorkflow and outputParserStructured credentials in n8n after import.
What trigger type does "0762_Aggregate_Stickynote_Create_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 "0762_Aggregate_Stickynote_Create_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 executeWorkflow, outputParserStructured, agent, lmChatAzureOpenAi, aggregate.

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