Chatwork is a communication and task management platform that streamlines collaboration among teams. By integrating with Relevance AI, you can enhance your Chatwork experience with AI-driven insights and automation, transforming how your team works together.
Chatwork facilitates efficient team collaboration and task organization. With Relevance AI, you can leverage intelligent AI Agents to automate and optimize your interactions, making your workflows smarter and more responsive.
Seamless Communication Orchestration
The AI agent coordinates complex team interactions across multiple Chatwork rooms, ensuring fluid information flow and response management.
Intelligent Task Automation
Transforms conversation context into actionable tasks, automatically assigning and prioritizing work based on team capacity and project requirements.
Knowledge Synthesis Mastery
Continuously analyzes chat discussions to create searchable knowledge bases and instant context summaries for team members.
Relevance AI seamlessly integrates with Chatwork to enhance your communication and task management workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- A Chatwork account with access to the workspace you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
This integration enables seamless communication and task management between Chatwork and your applications through Relevance AI's platform. Key benefits include automated message and task creation in Chatwork rooms, streamlined room management and collaboration, secure OAuth-based authentication, and simple API endpoints for common Chatwork operations.
To get started, ensure you have a Chatwork account with API access, a Relevance AI account, and the necessary OAuth credentials from Chatwork. You will also need Node.js 12.x or higher and HTTPS support for API calls.
Once you have the prerequisites, configure OAuth authentication and set up the base URL for API calls. You can then create a new Chatwork room, send messages, and create tasks using straightforward API calls.
For custom API calls, you can specify the method, path, and headers as needed. If you encounter issues, common troubleshooting steps include verifying OAuth credentials, checking room permissions, and implementing request throttling to handle API rate limits.
Best practices include robust error handling, response validation, and rate limiting implementation to ensure your integration runs smoothly. For additional support or specific issues, consult the Chatwork API documentation or contact Relevance AI support.
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.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
