Assistants that read your data and answer with evidence — citing where each claim came from, with a human approving before anything ships.
A general-purpose model answers everything well and your business poorly. The difference is giving it access to your documents, your databases and your rules.
An answer without a source can’t be used to decide. Our agents cite the document and the exact fragment each claim came from.
An agent that writes emails or moves data unsupervised is a risk. We put human approval at the point where the action leaves for the world.
Before the first prompt we decide which sources it reads and which actions it’s allowed. An agent without limits is an incident waiting for a date.
The agent searches your documents and answers with the citation. If it finds no backing, it says so instead of making things up.
Generating is cheap; publishing or sending is what has consequences. That’s where the approval goes — not earlier.
A set of questions with known answers, evaluated on every change. Without that, "I improved the prompt" is an opinion.
What we use
Real projects from this service.
Our own course: 8 modules and 72 challenges to learn to build agents and keep them running.
See the card ↗Drafts with AI, waits for human approval, publishes. Zero manual editing.
See the card ↗Six agents that run the company itself, coordinated by an orchestrator.
An assistant that reads your data — documents, databases, email — and answers or acts with evidence. Unlike a chat, it has access to concrete sources, tools to query them, and explicit limits on what it can do without permission.
It depends on the architecture, and it’s a decision made at the start. You can work with providers that don’t train on your data, or keep everything inside your own infrastructure. We define it before connecting the first source.
That’s why we cite the source and put human approval where the action ships. An agent that errs while showing where its answer came from is correctable; one that answers confidently without backing is not.
[ Got something that should be running on its own? ]
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