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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.


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 — answer customer email, respond on Telegram or web widget, send email and update Calendar, Docs and Sheets
  • Use a browser — fill forms, extract data, take screenshots, navigate complex UIs
  • Internal Slack automation — Internal agents bound to Slack channel flows (not customer-facing)

Businesses

Deploy customer-facing support agents on your website, WhatsApp, or Telegram — 24/7, at scale.

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 Chat-only AI Workflow builders Custom LLM apps
Custom agent instructions Partial
20+ built-in integrations
Knowledge (RAG) Partial
Browser / computer use Complex
Deploy to Slack/Telegram/Web Partial Complex
No code required
REST API access Partial Partial

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.