An agent is easiest to trust when its boundaries are concrete. You should be able to see the workspace it can touch, the tools it can call, and the changes it proposes before those boundaries become abstract policy text.
Agentica starts from the machine in front of you. Local files remain local inputs, run history remains inspectable, and permission is attached to an action instead of granted as a vague permanent state. Remote models can still contribute without making the entire workflow remote.
This is less magical than an invisible autonomous worker, and intentionally so. Good agent software should make increased capability feel legible. The product succeeds when a person can understand what happened, recover from a mistake, and keep the useful parts of a run.