Generate AI case studies from Feedspace testimonials with Google Gemini and publish to WordPress
Ready for 3.0What this workflow does
This AI workflow has 12 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model and Wordpress.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Extract Testimonial Data (Edit Fields (Set)): sets 4 fields: review, review_user, feedback_type…
- If: checks a condition and branches into true / false
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; memory: Simple Memory
- Error Response (Respond to Webhook): sends the response back to the webhook caller
- Parse AI Agent Output (Code): runs custom JavaScript code
- Memory Context Logger (Code): runs custom JavaScript code
- Prepare WordPress Data (Edit Fields (Set)): sets 3 fields: Post Title, Post content, case_study_meta
- Create WordPress Post (Wordpress): uses Wordpress
- Respond to Webhook: sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (9)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - AI Agent
@n8n/n8n-nodes-langchain.agent - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Code
n8n-nodes-base.code - Wordpress
n8n-nodes-base.wordpress - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Who is this for? This template is for teams who collect customer testimonials on feedpsace (via forms) and want to automatically convert them into professional case studies using AI and publish them to WordPress. What this workflow does This workflow listens…