- New Slack message
- Is it a request?
- Classify + size
Turn client Slack requests into a triaged queue
An n8n agent reads requests in shared client channels, classifies and sizes them, and files them in Airtable with an owner and due date.
Exploring automation of need candidate generation using n8n and Python, without scheduling.
While automating the creation of need candidates is feasible with n8n and Python, the challenge lies in determining the value of running this process on a schedule. Not every automated task warrants regular execution.
Begin by configuring n8n to handle the automation workflow, ensuring it can connect to the necessary services.
Develop a Python script that processes data and generates need candidates based on the input from n8n.
Run tests to verify that the integration between n8n and Python is functioning correctly and producing the desired output.
An n8n agent reads requests in shared client channels, classifies and sizes them, and files them in Airtable with an owner and due date.
After each sales call, Zapier sends the transcript to Claude, which writes the notes and updates next steps and deal fields in Salesforce.
Make pulls contracts from Gmail, Gemini extracts the term and notice period, and a Sheets register emails the owner 60, 30 and 7 days before each deadline.