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
- 1281_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
AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack is a free n8n workflow on OpenRuna — 31 nodes connecting lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
This n8n workflow, "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack", wires together lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest in 31 nodes. 31 nodes · lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets 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
- Fork it to add error handling, retries, or a notification step without designing the 31-node flow from scratch.
- Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
- Import "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" into n8n, reconnect credentials for lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest, and run the same automation in your own workspace.
- Use it as a starting template when wiring lmChatOpenAi, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest — adjust node parameters to your accounts and record IDs.
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. 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 "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" 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, chainLlm, schedule, rssFeedRead, textClassifier, googleSheets, slack, httpRequest. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "AI-Powered Information Monitoring with OpenAI, Google Sheets, Jina AI and Slack" — extract lmChatOpenAi IDs and secrets into environment variables without changing the 31-node structure.
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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