Governable product
A useful assistant must know what it knows, what it does not, and when work should return to a person.
An AI assistant or agent is not measured by fast answers alone; its input, source, authority, and action result should be traceable. The right experience separates a suggestion from a final decision and places review at the right point.
Real product view
This still is taken from the supplied Local AI video and shows the working surface, data display, and product interaction in context.
Product evidence
The product view keeps role, data, action, and human review connected rather than presenting an isolated assistant demo.
Products
We shape an agent or assistant around its role, allowed tools, data scope, and approval point. Automation is used only where failure, rollback, and event logging can be managed.
Make agent scope and evidence explicit
This path connects the agent to a role, allowed tools, review ownership, and an explicit stop point.
Reviewable capabilities
AI assistants and agents with bounded scope
An assistant becomes useful when its role, sources, allowed tools, level of agency, and approval point are explicit from the start.