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📚Complete Guide

Dust AI Tutorial: Get Started in 5 Minutes [2026]

Master Dust AI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.

Get Started with Dust AI →Full Review ↗
🚀

Getting Started with Dust AI

1

Sign up for a 15

2

day free trial at dust.tt with full Pro access Connect your first data source (Slack, Notion, Google Drive, or GitHub) using the guided setup wizard Create your first custom agent by defining instructions, selecting data sources, and choosing an LLM model Deploy your agent to Slack or install the Chrome extension to start using it where your team works

💡 Quick Start: Follow these 2 steps in order to get up and running with Dust AI quickly.

🔍 Dust AI Features Deep Dive

Explore the key features that make Dust AI powerful for agent workflows.

Native Data Connectors

What it does:

Use case:

No-Code Agent Builder

What it does:

Use case:

Multi-Model Routing

What it does:

Use case:

Native Distribution Channels

What it does:

Use case:

Enterprise Security and Compliance

What it does:

Use case:

❓ Frequently Asked Questions

How does Dust ensure our proprietary information remains secure?

Dust holds SOC 2 Type II certification and is GDPR compliant, with security controls that are audited rather than self-asserted. It enforces a zero-data-retention policy with its LLM providers (OpenAI, Anthropic, Google, Mistral), meaning your company data passes through models for inference but is never stored or used for training. Enterprise plans add SSO, SCIM provisioning, role-based access controls, and audit logging.

What types of business knowledge can Dust agents work with?

Dust offers native connectors for Slack, Notion, Google Drive, GitHub, Confluence, Intercom, and Zendesk, syncing data continuously so agents always reference current information. Beyond those, you can upload static documents into data sources or connect arbitrary systems via the Dust API. Agents can reason across multiple data sources simultaneously.

How long does it take to deploy Dust in our organization?

A small team can be productive within a day — connect a couple of data sources, build an agent in the no-code builder, and deploy it to Slack. Larger rollouts typically take 4–12 weeks once you factor in security review, connector configuration across multiple workspaces, agent design for different departments, and user onboarding.

Can Dust agents be customized for different departments or roles?

Yes — Dust is explicitly designed around department-specific agents rather than one general assistant. You can build a sales agent connected to your CRM-adjacent Notion docs, a support agent wired to Zendesk and product documentation, and an engineering agent that reads GitHub repos and internal wikis, each with tailored instructions and data access.

How does Dust pricing compare to alternatives like Glean or Cassidy?

Dust's Pro plan is €29/user/month with unlimited messages under fair use, all data connectors, custom agents, and access to advanced models including GPT-4o and Claude. That sits below Glean (typically $40–50/user/month with enterprise minimums) and roughly in line with Cassidy and Stack AI on a per-seat basis.

🎯

Ready to Get Started?

Now that you know how to use Dust AI, it's time to put this knowledge into practice.

✅

Try It Out

Sign up and follow the tutorial steps

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Start Using Dust AI Today

Follow our tutorial and master this powerful agent tool in minutes.

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Tutorial updated March 2026