When new inbound message in Trengo, sync it to Anthropic (Claude).
When an inbound message arrives in Trengo, evaluate sentiment and suggest a draft reply using Anthropic (Claude).
Google for Startups AcceleratorHow 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.
Claude Explore Claude →
TriggersFires when Claude returns a completion, prediction or other result.
Fires when a request to Claude errors or times out.
Fires when a fine-tuning job in Claude finishes.
Sends a prompt to Claude and returns the model's response.
Sends text, an image or other data to Claude and returns the model's output.
Uses Claude to classify or extract structured data from text or images.
Trengo Explore Trengo →
TriggersFires when a new support ticket or chat conversation starts in Trengo.
Fires when a ticket's status changes in Trengo.
Fires when a ticket in Trengo is assigned to an agent.
Fires when a ticket in Trengo breaches its response SLA.
Creates a new ticket in Trengo.
Updates a ticket's status in Trengo.
Assigns a ticket in Trengo to an agent.
Posts a reply or internal note on a ticket or conversation in Trengo.
More Claude + Trengo workflows
See all Claude + Trengo integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “When new inbound message in Trengo, sync it to Anthropic (Claude).” between Claude and Trengo?
Yes — describe it in the box above and Knit's Integrations Agent researches Claude and Trengo'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.
What's the most common AI Models + Ticketing automation?
Having Claude draft a suggested reply or summary for a new ticket in Trengo, or auto-suggest a priority and category based on the ticket's content.
Does a human still review the AI's suggestion before it's sent?
That's up to how you configure it — the Agent can draft a reply for a human to approve, or, for lower-stakes categorization, act directly on Trengo.