I lead a Product Analytics team, and Dust has genuinely changed how we handle our day-to-day work from initial data discovery and generating quick visualizations to full analysis automation. Our analytics agents now actively partner with our analysts to help confirm hypotheses with data. What stands out to me is how easy it is to get started without sacrificing depth. You can build a simple agent in just a few minutes, but the platform is flexible enough to handle advanced use cases using Schedules, Frames, Pods, and MCP connectors. The MCP setup in particular has been huge for us: we've connected Dust to a lot of our internal tools using both native connectors and custom MCPs. Another major differentiator is collaboration. While most AI tools focus strictly on individual productivity, Dust actually makes it easy for a whole team to work together.

Dust makes it genuinely easy to build agents. You can go from an idea to a working assistant in minutes, without needing engineering help. The connector and MCP ecosystem is a big part of that. Plugging into our existing tools meant our agents actually had the context they needed to be useful for support and RevOps work. On top of that, the value for money is hard to beat compared to other platforms we looked at.

The ability to integrate with multiple LLMs and to easily manage access to company data (with different groups, levels...). Furthermore, the team is great, very responsive and attentive. The pods help to better manage the context and especially to share it more easily among collaborators, which saves a lot of time in managing clients or projects.