Hey everyone, I've been testing Relevance AI for a few weeks now, trying to set up some basic automation for our project management workflows. I'm generally impressed by the platform's concept, but I keep hitting a wall with the docs.
The examples in the documentation are clear, but they all seem to stop at "Hello World" level. For instance, they show how to connect a data source and run a simple query, but they don't show what to do when that query returns 10,000 rows and you need to summarize, categorize, and push that to a Slack channel based on certain conditions. I'm left piecing together fragments from different pages, which feels risky.
I'm curious if others have faced this? Specifically, I'm trying to build something that:
- Takes new support tickets from a helpdesk (like Zendesk),
- Uses the AI to gauge sentiment and urgency,
- Then creates a prioritized task in ClickUp for the engineering team if it's bug-related, or for the support lead otherwise.
The building blocks are there, but the "why" and "how" to structure this as a real, maintainable workflow isn't covered. Did you find any community examples or have advice on bridging this gap? I'm cautious about investing too much time building on a platform if the practical implementation patterns aren't well documented. Thanks for any insights!