Automate Gmail labeling with Gemini AI & build InfraNodus knowledge graph with Telegram alerts
This workflow employs Gemini AI to intelligently categorize your Gmail messages and feeds the data into InfraNodus to construct a visual knowledge graph. By analyzing content gaps, it generates novel research questions and delivers them via Telegram to spark creative thinking from your daily communications. It’s an advanced setup for turning high volumes of information into actionable, structured intelligence.
Run this with your team's AIWhat This Recipe Does
This automation transforms your Gmail inbox from a simple message list into a sophisticated knowledge management system. By automatically labeling incoming messages and processing the content into a structured knowledge graph, the system identifies key relationships between contacts, projects, and recurring themes. Instead of manually sorting through threads, you gain a high-level view of how information is interconnected across your organization. The integration with Telegram ensures that you never miss a critical update, providing real-time summaries of important communications directly to your mobile device. This workflow eliminates the mental load of inbox management and ensures that valuable business intelligence trapped in emails is extracted and made accessible. By automating the categorization and notification process, teams can focus on high-value tasks rather than administrative upkeep. It is an essential tool for professionals who handle high volumes of correspondence and need to maintain a clear overview of complex information landscapes without spending hours in their inbox.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
BigMailer, Telegram connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect BigMailer and Telegram once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Sales managers use this to map relationships between potential leads and existing clients by extracting entity data from introductory emails.
- Executive assistants use this to automatically categorize incoming requests and provide instant briefings to leadership via Telegram.
- Market researchers use this to build a database of industry trends and competitor mentions found in newsletters and correspondence.
Frequently Asked Questions
Do I need to know how to code to set this up?
No, Runwork handles the underlying logic, allowing you to connect your Gmail and Telegram accounts through a simple interface without technical expertise.
Can I choose which emails trigger a Telegram notification?
Yes, you can define specific labels or keywords that determine which messages are important enough to warrant an instant mobile alert.
What is a knowledge graph in this context?
It is a structured way of storing information that highlights connections between people, companies, and topics mentioned in your emails for better data retrieval.
Does this work with Google Workspace accounts?
This automation is fully compatible with both personal Gmail accounts and professional Google Workspace environments.
Coming from n8n?
This recipe uses nodes like GmailTrigger, StickyNote, Langchain.lmChatOpenAi, Gmail and 7 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork