What do users need to understand to get started?
- Why Dust: Why did my company decide to use Dust, and how am I expected to use it?
- Capabilities: What can Dust do?
- Compliance Guidelines: Are there specific documents or data we shouldn’t use with Dust?
- Data Usage: What data is available in Dust?
- Instructions: How do I create good instructions?
- Non-Deterministic Outputs and LLMs limitations: Large language models like Claude, GPT, Gemini or Mistral are non-deterministic, meaning the same input won’t always produce the same output. They don’t know how to read structured data easily.
- Use case ideas: Examples like writing, coding, research, translation, idea generation, and task automation.
- Agents: What are Dust agents? How do I use or create one?
- Data Analysis: How can I use Dust Table Query tool for data analysis?