AI Agents
Intelligent Query Processing and Airtable Data Storage
11 nodes
225
125
Automatic trigger
Workflow Description
Smart automation that receives chat inquiries, processes them through Google Gemini AI, parses and structures the results, then automatically stores them in Airtable for team access and centralized record-keeping.
How it works
- 1.Receive incoming inquiries through the chat trigger interface
- 2.Process queries using Google Gemini conversational model
- 3.Parse and structure the AI response with output formatting
- 4.Store formatted data directly into Airtable tables
Use cases
- Classify and organize customer inquiries automatically in Airtable
- Capture and log sales leads instantly for sales team follow-up
Requirements
- Active Airtable account with pre-configured base and table
- Valid Google Gemini API key with appropriate permissions
- Defined data schema for structured query results
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
Gemini
Output Parser
LLM Chain
Airtable
Details
Trigger
Automatic trigger
Nodes
11
Apps
5
Views
225
Downloads
125
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (11)
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When chat message received
Chat Trigger
Google Gemini Chat Model
Gemini Model
Auto-fixing Output Parser
Output Parser Autofixing
Structured Output Parser
Output Parser Structured
Edit Fields
Set
Google Gemini Chat Model1
Gemini Model
Return results
Set
Categorize and name Prompt
LLM Chain
set prompt fields
Set
add to airtable
Airtable
Generate a new prompt
LLM Chain