Process new Slack messages by triggering message agents in Relevance AI.
When a new message is posted in Slack, send the content to an agent in Relevance AI to generate a response.
See all Relevance AI + Slack integrations or talk to a human
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Relevance AI Explore Relevance AI →
TriggersFires when an Relevance AI agent finishes a task or run.
Fires when an Relevance AI agent finishes a call or conversation.
Fires when an Relevance AI agent marks a lead qualified.
Triggers an Relevance AI agent or tool with a set of inputs.
Has an Relevance AI agent place an outbound call.
Adds a lead to an outreach campaign in Relevance AI.
Slack Explore Slack →
TriggersFires when a new message is posted to a channel in Slack.
Fires when your team or a keyword is mentioned in Slack.
Fires when a new channel is created in Slack.
Fires when a new file is shared in Slack.
Posts a message to a channel in Slack.
Sends a direct message to a person in Slack.
Creates a new channel in Slack.
Adds a user to a channel in Slack.
Common questions
Can Knit build “Process new Slack messages by triggering message agents in Relevance AI.” between Relevance AI and Slack?
Yes — describe it in the box above and Knit's Integrations Agent researches Relevance AI and Slack's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.