He never wrote a thing. He just asked the next question.
The whole method was a person who knew which question would pull the thought into the open.
Mato’s AI agents sit down with real people, listen for the thread, and help them say what they were trying to say.
The gap between what someone knows and what they can explain is one of the oldest problems in human communication.
The whole method was a person who knew which question would pull the thought into the open.
Journalism turned the conversation into a craft. The best interviewers hear what you almost said.
Therapists proved that the right follow-up, held at the right moment, reaches what a form never could.
For thousands of years the bottleneck was the same. It took another person who knew how to listen.
An AI agent that prepares, listens, follows the thread, and asks the follow-up that earns the better answer.
Mato builds AI agents that hold live conversations with real people. They prepare before the session, listen during it, follow the thread, and ask the follow-up that earns the better answer.
The person being interviewed doesn’t need to arrive with a finished thought. They arrive with fragments. A story, a feeling, a half-clear opinion. Mato’s job is to help them reach the clearest version of it.
Now I can finally say what I meant.
One speaks with the guest. One produces in the background. One finds what mattered after. Each layer depends on the others, and no one else has shipped it.
Mato is useful anywhere important knowledge lives inside someone’s head and a form, a survey, or a transcript can’t reach it. The same engine, pointed at a wider world.
We’re building the AI conversation layer for human knowledge. Podcasting is where we start. What people know is where we’re going.