Businesses
Deploy customer-facing support agents on your website, WhatsApp, or Telegram — 24/7, at scale.
What is Auteryn?
Auteryn is an AI platform where you build custom AI agents that work like a human — coding, answering customer questions, doing research, browsing the web, and automating complex workflows.
Instead of writing code or managing infrastructure, you describe what your agent should do, connect it to your tools and data, and deploy it anywhere — in minutes.
What can an agent do?
An Auteryn agent can take on tasks that would normally require a human:
- Answer customer questions using your company’s documentation and policies
- Write, review, and debug code using tools like GitHub and a full code execution sandbox
- Research topics by searching the web, reading documents, and synthesizing findings
- Automate workflows — triage support tickets, draft responses, summarize Slack threads
- Use a browser — fill forms, extract data, take screenshots, navigate complex UIs
- Collaborate with your team — join Slack channels, respond to mentions, handle internal requests
Who uses Auteryn?
Engineering Teams
Build internal agents that automate code reviews, run tests, manage issues, and handle DevOps tasks.
Operations Teams
Automate repetitive workflows — data entry, report generation, SLA tracking, ticket triage.
Product Builders
Embed an AI agent directly into your product using our API or web widget — in hours, not months.
Auteryn vs. other tools
| Auteryn | Chat-only AI | Workflow builders | Custom LLM apps | |
|---|---|---|---|---|
| Custom agent instructions | ✅ | ❌ | Partial | ✅ |
| 20+ built-in integrations | ✅ | ❌ | ✅ | ❌ |
| Knowledge base (RAG) | ✅ | ❌ | Partial | ✅ |
| Browser / computer use | ✅ | ❌ | ❌ | Complex |
| Deploy to Slack/Telegram/Web | ✅ | ❌ | Partial | Complex |
| No code required | ✅ | ✅ | ✅ | ❌ |
| REST API access | ✅ | Partial | Partial | ✅ |
The three building blocks
Every agent on Auteryn is built from three things:
1. Instructions — You tell the agent who it is and how to behave. Think of this as a job description.
2. Tools — You connect the services the agent needs: GitHub, Slack, Google Drive, a database, a custom API. The agent uses these to take real actions.
3. Knowledge — You give the agent context: your product docs, your company handbook, your codebase. The agent retrieves the right information at the right time.
Next steps
Learn the concepts Understand agents, tools, knowledge bases, flows, and credits.
Build your first agent Create and run an agent in 10 minutes.
Deploy it Publish to Telegram, Slack, WhatsApp, or a web widget.