- 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.
Pratik Batha created an n8n workflow that organizes data from 99 Ohio car dealers, ensuring accuracy by linking each value to its source.
Gathering accurate data from multiple car dealer websites can be challenging, especially when some sites are not easily readable. This can lead to incorrect assumptions or incomplete information.
Begin by configuring your n8n environment to handle workflows efficiently.
Connect to SpecStream to pull data from the 99 Ohio car dealers, ensuring each entry is linked to its respective source page.
Add logic to the workflow that marks entries as 'insufficient evidence' when Gemini cannot read a dealer's site, preventing incorrect data assumptions.
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.