- 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.
Utilizing n8n's queue mode with worker processes significantly reduces execution time for CPU-intensive tasks.
When handling CPU-heavy tasks in n8n, the main process can become a bottleneck, leading to slower execution times. This can hinder productivity and efficiency, especially in environments requiring quick data processing.
Install and configure n8n to ensure it is ready for use with your workflows.
Activate the queue mode in n8n to allow task executions to be offloaded to worker processes.
Set up multiple worker processes using Redis to handle the execution of tasks concurrently.
Conduct tests with CPU-heavy tasks to evaluate the performance improvements achieved through the new setup.
Compare execution times before and after implementing the queue mode and workers to quantify the efficiency gains.
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.