AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack
32 nodes · manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule
- Engine
- n8n
- Nodes
- 32
- Trigger
- scheduled/triggered
- Source file
- 1273_Datetime_Webhook_Create_Webhook.json
Workflow flow
When clicking ‘Test workflow’
Manual
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Webhook
Webhook
Schedule Trigger
Schedule
Set fields - From Webhook input
Set
Date & Time - Substract
DateTime
WordPress - Get All Posts
WordPress
WordPress - Get Last Posts
WordPress
WordPress - Get Post1
WordPress
Wordpress - Update Post
HTTP
Google Sheets - Get rows
Google Sheets
HTML to Markdown
Markdown
Slack - Notify Channel
Slack
No Operation, do nothing
NoOp
Text Classifier
@n8n/n8n-nodes-langchain.textClassifier
If
IF
Set fields - Prepare data for Gsheets & Slack
Set
Loop Over Items
SplitInBatches
OpenAI
@n8n/n8n-nodes-langchain.openAi
Google Sheets - Add Row
Google Sheets
WordPress - Get Post2
WordPress
21 steps · flows top to bottom, branches left to right
Browse by integration
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-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack is a free n8n workflow on OpenRuna — 32 nodes connecting manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
This n8n workflow, "AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack", wires together manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets in 32 nodes. 32 nodes · manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule 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
- Import "AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack" into n8n, reconnect credentials for manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets, and run the same automation in your own workspace.
- Use it as a starting template when wiring manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets — adjust node parameters to your accounts and record IDs.
- Study how data moves from manual to textClassifier before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
Example output
Imported into n8n, "AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack" exposes 32 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets. Reconnect the manual 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-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack" JSON into a plain-English runbook, node by node. It can flag where manual 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 manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack" — extract manual IDs and secrets into environment variables without changing the 32-node structure.
Frequently asked questions
- How do I import "AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & 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-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & Slack" use?
- It uses: manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets. The flow diagram above shows how each service connects across the 32 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 textClassifier credentials in n8n after import.
- What trigger type does "AI-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & 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-Generated Summary Block for WordPress Posts - with OpenAI, WordPress, Google Sheets & 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 manual, textClassifier, lmChatOpenAi, splitInBatches, webhook, schedule, httpRequest, googleSheets.
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