Intelligent Gmail message analysis and social media posting
Workflow Description
Advanced workflow that captures incoming emails through a web form, processes them in batches using Gemini AI, extracts key insights with an intelligent agent, and automatically posts summaries to X while storing email content in a vector database for future retrieval and analysis.
How it works
- 1.Receive emails via web form and split them into manageable batches for processing
- 2.Analyze email content using an AI agent powered by Google Gemini
- 3.Generate professional summaries and automatically publish them to X platform
Use cases
- Convert large customer emails into social media posts automatically in real-time
- Build a searchable knowledge base from incoming email data using vector embeddings
- Reduce manual email summarization workload and accelerate content publishing
Requirements
- Active Gmail account with full API access and authentication credentials
- Google Gemini API key and configured LLM integration
- X (Twitter) account with valid API credentials for posting
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