Integrations

Supercharge Twist with Relevance AI

Twist is a team communication platform that allows for organized discussions and collaboration among team members. With Relevance AI, you can elevate your communication strategies by leveraging AI Agents to automate and optimize your workflows.

Give your AI Agents Twist Superpowers

Twist enhances team collaboration through organized conversations and threads. Relevance AI amplifies this by introducing intelligent AI Agents that can automate interactions and streamline communication processes.

Thread Intelligence Mastery

The AI agent analyzes conversation patterns to automatically categorize, route, and prioritize discussions for maximum team efficiency.

Knowledge Synthesis

Transforms scattered discussions into structured, searchable knowledge bases by extracting key insights and organizing information contextually.

Contextual Awareness

Understands discussion context to provide relevant information, suggest connections, and surface related historical threads.

Tools

Equip AI Agents with the Twist Tools they need

Relevance AI enables you to integrate Twist's communication capabilities into your automated workflows effortlessly.

Twist - Get Thread
Retrieves detailed information about a specific thread in Twist, allowing users to access thread content and metadata
Twist - Add Message To Conversation
Creates and sends a new message within a Twist conversation, supporting mentions, attachments, and action buttons
Twist - Get Workspace Users
Fetches a list of all users within a specified Twist workspace, providing user information and details
Twist - Add Thread
Creates a new thread in a specified channel with customizable content, title, and notification settings
Twist - Get Workspace User By Email
Looks up a specific user within a workspace using their email address as the identifier
Twist - Add Comment
Posts a new comment to an existing thread with support for mentions, attachments, and notification controls
Name
Twist API Call
Description
Make an authorized request to a Twist API
Parameters
["OAuth Account Authentication", "HTTP Method Selection", "Custom Request Headers", "Request Body Configuration", "API Path Specification"]
Use Case
A development team uses Twist API Call to automatically sync project updates from their task management system into Twist channels, ensuring real-time collaboration and eliminating manual status reporting. The integration enables automated posting of sprint updates, bug reports, and milestone achievements directly to relevant Twist threads.

Security & Reliability

This integration allows you to seamlessly connect Twist's team communication platform with your applications, utilizing secure OAuth authentication to ensure that only authorized workflows access your Twist data. Relevance AI manages API operations (like GET, POST, PATCH, DELETE) in the background, so you don’t have to worry about errors, formatting, or limits.

With automated thread and comment management, programmatic access to workspace user data, and seamless message handling, this integration enhances team collaboration and streamlines your workflows. Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Twist + Relevance AI integration without writing code:
  • Start with a well-structured Twist workspace: Organize channels and threads clearly to facilitate easy navigation and collaboration.
  • Utilize pre-built workflows: Relevance AI provides templates for automating thread creation, comment management, and user data retrieval—perfect for quick setup.
  • Connect securely: Ensure you authorize the correct Twist workspace and have the necessary OAuth permissions during integration setup.
  • Test integrations thoroughly: Validate automations with sample data to prevent issues before deploying them in a live environment.
  • Monitor API usage: Be mindful of rate limits and implement throttling to avoid disruptions in service.