AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack
31 nodes · lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets
- Engine
- n8n
- Nodes
- 31
- Trigger
- scheduled/triggered
- Source file
- 1278_Code_Schedule_Monitor_Webhook.json
Workflow flow
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Schedule Trigger
Schedule
OpenAI Chat Model1
@n8n/n8n-nodes-langchain.lmChatOpenAi
Google Sheets - Get article monitored database
Google Sheets
Set field - existing_url
Set
Google Sheets - Get RSS Feed url followed
Google Sheets
RSS Read
RssFeedRead
Code
Code
If
IF
Relevance Classification for Topic Monitoring
@n8n/n8n-nodes-langchain.textClassifier
No Operation, do nothing
NoOp
Jina AI - Read URL
HTTP
Set fields - Not relevant articles
Set
Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Google Sheets - Add relevant articles
Google Sheets
Slack1
Slack
Set Fields - Relevant Articles
Set
Google Sheets - Add relevant article
Google Sheets
18 steps · flows top to bottom, branches left to right
Browse by integration
Browse all integrations →Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- 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.
Overview
Free n8n workflow: AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack. 31 nodes across lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest, with a downloadable JSON and a visual flow diagram on OpenRuna.
What this workflow does
"AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" automates a lmChatOpenAi-to-chainLlm flow in n8n across 31 nodes. 31 nodes · lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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
- Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
- Fork it to add error handling, retries, or a notification step without designing the 31-node flow from scratch.
- Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenAi stack.
- Study how data moves from lmChatOpenAi to chainLlm before building your own variant.
Example output
Imported into n8n, "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" exposes 31 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest. Set your credentials on the lmChatOpenAi 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 "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" into Claude and ask it to explain each of the 31 nodes. Claude is good at suggesting credential mappings for lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" to your accounts — which lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest 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 31 nodes.
Frequently asked questions
- How do I import "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" 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 "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" use?
- It uses: lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest. The flow diagram above shows how each service connects across the 31 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 chainLlm credentials in n8n after import.
- What trigger type does "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" 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 "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" 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, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest.
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