Block 1 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Chat to write or reword a blog post. The workflow stores each result in Google Sheets and uses a sub workflow “Google tool” to count rows per session (your running context). If a session exceeds a ...
@n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.executeworkflowtrigger, @n8n/n8n-nodes-langchain.toolworkflow, n8n-nodes-base.summarize, n8n-nodes-base.filter, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Robert Breen.
Original n8n.io sourceChat to write or reword a blog post. The workflow stores each result in Google Sheets and uses a sub-workflow “Google tool” to count rows per session (your running context). If a session exceeds a row threshold, the flow can branch (e.g., stop or notify).
session, Rows, output)system_prompt + user_prompt sessionid to count existing rows.session → summarizes row count.{ session, Rows, output } to the sheet.Rows > 3 → branch/limit/notify as needed.abc123.” launchQ3:\n<your text here>” mkt-01.”Need help tailoring this to Airtable/Notion/DB, or adding auto-publishing?
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Blog writer & editor with Google Sheets memory (GPT-4) |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Content Creation, Multimodal AI |
| Author | Robert Breen |
| Published | 20 Aug 2025 |
Use the JSON export at /data/workflows/7671/7671.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Chat to write or reword a blog post. The workflow stores each result in Google Sheets and uses a sub workflow “Google tool” to count rows per session (your running context). If a session exceeds a ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.