Generate comprehensive & abstract summaries from Jotform data with Gemini AI
Ready for 3.0What this workflow does
This AI workflow has 9 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model, Google Sheets and Google Docs.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Set the Input Fields (Edit Fields (Set)): sets 3 fields: FormTitle, SubmissionID, body
- Comprehensive & Abstract Summarizer (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Persist On DataTable (Data table): uses Data table
- Append or update row in sheet (Google Sheets): append or update
- Create a document (Google Docs): uses Google Docs
- Update a document (Google Docs): update
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 (8)
- Webhook
n8n-nodes-base.webhook - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Data table
n8n-nodes-base.dataTable - Google Sheets
n8n-nodes-base.googleSheets - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Docs
n8n-nodes-base.googleDocs - Edit Fields (Set)
n8n-nodes-base.set
From the author
Who this is for This workflow is designed for researchers, marketing teams, customer success managers, and survey analysts who want to automatically generate AI-powered summaries of form responses collected via Jotform — turning raw feedback into actionable…