Vizard Agent

How to pick the one podcast clip a specific audience needs

Last updated 2026-10-10 · 2 min read

Upload the interview and describe who the clip is for. Vizard Agent transcribes everything, searches for the language that audience would recognise in themselves, checks the framing at every candidate cut point, tracks where the speakers' heads sit, and cuts one clip rather than a handful.

What do you type into Vizard Agent?

Describe the audience the way you would describe a person. Vizard Agent uses that description to search the transcript for matching language, so "successful women litigators whose precision has become a burden" gives it far more to find than "lawyers". Say you want one clip, and how long it should be.

Prompt

Create ONE [LinkedIn] video clip from this full podcast interview. Audience: [who they are, what drives them, what it costs them]. Around [60] seconds, [4:5], captions.

What does Vizard Agent actually do?

Most podcast clipping selects for what is most quotable. Selecting for a particular audience is a different question: what would make this specific group of people stop scrolling? It usually produces a different passage from the same hour, and the crop is decided by measuring where the faces sit. In the session behind this article it:

When does this not work well?

Selecting one clip for one audience depends on the passage genuinely existing in the recording. A general interview may have no specific passage, and a vague audience like "business owners" gives vague results. One clip is one bet, so ask for alternatives if you want to test, and keeping two speakers in a vertical frame is tight.

Common questions

Why one clip instead of several? Because selecting for a specific audience gives Vizard Agent one strongest answer, not five equal ones.

How detailed should the audience description be? Very. Vizard Agent searches the transcript for language that matches how they describe themselves.

Can I get alternatives? Yes. Ask and Vizard Agent cuts the runner-up passages it had already identified.