What is Dust, and can your team build a value agent with it?
Dust is a platform for building AI agents that connect to your own tools and data. Your team can build a DIY tool in it, and it will produce a real first version of the business case.
It also runs out in the same place Claude and ChatGPT do, for the same reason. Better connections to your data make the inputs cleaner; they do not turn a conversation into a governed value platform. For the wider build-versus-buy question, see Can you build your own value selling tool with AI?
What is Dust, actually?
Dust is a platform for building AI agents and connecting them to your data and tools. Where a bare chat starts cold every time, a Dust agent can be wired into the systems where your information lives, so it pulls from your content instead of only what you paste into a prompt.
For a team that wants agents grounded in company data rather than a blank model, that is a real advantage. We built our DIY tool on Dust while testing where the build path runs out, alongside Claude, ChatGPT, and Gemini, so this comes from using it on the job.
What can a DIY tool built in Dust do?
Produce a strong first version of the business case, with cleaner inputs than a bare chat, because it can reach your data.
That data connection helps. A value case is only as good as what goes into it, and an agent that can pull real numbers and real context from your systems starts from a better place than one waiting for a seller to type everything in. For a single deal, in the hands of a seller who knows what a good case looks like, the output is usable.
So on the honest-upside question, Dust earns a yes. A seller walks into discovery with a quantified point of view instead of a blank page, and that point of view is grounded in your data.
Does connecting it to your data close the gap?
No. Better connections improve what goes in; they do not change what the DIY tool is once the case is made.
A Dust agent still hands you an output that captures one moment and then stops updating. Your champion still cannot get inside it to make it theirs. The case still cannot carry itself from first call to renewal, and still tells a value leader nothing about whether the deal will close.
The connection is at the input. The gaps are at the backend, the governance, and the shared surface, and no data hookup on the front end builds those on the back. The limit is structural, which is why a more capable or better-connected agent does not resolve it.
Where does it run out, same as the others?
At the four gaps that separate a value tool from a value platform:
- A case your champion helps build.
- One value story across the whole cycle.
- Adoption a value leader can actually see.
- Deals that teach the next deal.
A Dust agent misses these for the same reason every agent does: it is built to run conversations grounded in data, not to run a value selling process across a team over time. We cover all four gaps and the ladder they prove in What’s the difference between a value tool, a value platform, and a value function? In short, Dust is a good way to build a DIY tool, and a DIY tool is not a value platform.
FAQs
Is Dust better than ChatGPT or Claude for this?
The output differs slightly, mostly because of the data connections. The structural limit is identical across all three. See Can you build a value selling tool with Claude?
Can I connect the DIY tool I built in Dust to a value platform instead of replacing it?
Yes, through an MCP connection, and that is often a better move than a full rebuild. It is a different question than build-versus-buy, and we take it up in Building in the platform vs coding your own app: which are you signing up for?



