Gmail automation
Workflow Description
Advanced email automation combining form processing with artificial intelligence. The system analyzes incoming messages using Gemini, organizes them into batches, extracts key information, and automatically publishes summaries to social media platforms for streamlined communication workflows.
How it works
- 1.Receive data from web forms or chat triggers and split them into batches for efficient processing
- 2.Analyze email content using Gemini model to extract data, insights, and generate summaries
- 3.Send results to Gmail with optional automatic publishing to Twitter/X via HTTP requests
Use cases
- Automate email classification and send intelligent responses to common customer inquiries
- Process bulk emails to identify sales opportunities and extract prospect information
- Distribute email summaries to team members while selectively publishing updates to social platforms
Requirements
- Active Gmail account with API permissions for reading and writing emails
- API key for Google Gemini service or alternative AI engine
- Connection to Pinecone or similar vector store for semantic search capabilities (optional)
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
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 (36)
On form submission4
Form Trigger
Loop Over Items1
Split In Batches
If2
If
Aggregate1
Aggregate
Google Gemini Chat Model5
Gemini Model
split the binary item
Code
Parsing the document
HTTP Request
Check the parsing status
HTTP Request
Provide the markdown
HTTP Request
Google Gemini Chat Model6
Gemini Model
Markdown
Markdown
Gmail
Gmail
Code
Code
Convert to File
Convert To File
AI Agent
Agent
Google Gemini Chat Model
Gemini Model
Information Extractor
Information Extractor
Google Gemini Chat Model1
Gemini Model
Convert to File4
Convert To File
Pinecone Vector Store
Vector Store Pinecone
Embeddings Mistral Cloud
Embeddings Mistral Cloud
Default Data Loader
Document Default Data Loader
Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
When chat message received
Chat Trigger
Question and Answer Chain
Chain Retrieval Qa
Google Gemini Chat Model2
Gemini Model
Vector Store Retriever
Retriever Vector Store
Pinecone Vector Store1
Vector Store Pinecone
Embeddings Mistral Cloud1
Embeddings Mistral Cloud
AI Agent1
Agent
Google Gemini Chat Model3
Gemini Model
Sticky Note
Sticky Note
Translator Agent
Agent
Analyzer Agent
Agent
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note