Collect customer testimonials with GPT-4 analysis, Jotform, Gmail & Google Sheets
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs on Jotform events. Along the way it connects Google Sheets, Gmail, Jot Form and OpenAI Chat Model.
How it runs
Trigger: On Jotform events.
- Extract Testimonial Data (Edit Fields (Set)): sets 7 fields: customerName, customerEmail, companyName…
- AI Testimonial Analysis (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Parse AI Analysis (Edit Fields (Set)): sets 1 field: output
- Log to Testimonial Library (Google Sheets): append or update
- Generate Coupon Code (Code): runs custom JavaScript code
- Send Thank You Email (Gmail): uses Gmail
- Notify Marketing Team (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Testimonial Analysis (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Testimonial Analysis (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Google Sheets
n8n-nodes-base.googleSheets - Code
n8n-nodes-base.code - Gmail
n8n-nodes-base.gmail - Jotform Trigger
n8n-nodes-base.jotFormTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
From the author
Customer Testimonial Collector Workflow Transform scattered testimonials into organized marketing assets - achieving 500 percent increase in testimonial collection, instant multi-channel optimization, and turning happy customers into brand advocates with…