How to cut your verbal tics without cutting the word where it means something
Tell Vizard Agent which word you overuse and where it is a habit rather than a word: "so" at the start of a sentence, not "so" joining two clauses. It works from word-level timings, removes only the instances that match, keeps the edit conservative, and then checks the joins for the jump cuts that surgical cutting produces.
What do you type into Vizard Agent?
Describe the position to Vizard Agent, not just the word. A rule that catches every instance is the easiest to state, and it produces a recording full of clipped-sounding sentences that's worse than what you started with. Listening back once and writing down the two or three words you genuinely overuse is the whole of the preparation.
Prompt
What does Vizard Agent actually do?
The same three letters are a habit in one place and a conjunction in another, and the only way to tell is where they sit in the sentence and what comes after them. The filler removal comes late, after the obvious false starts, and it is deliberately narrower than the instruction allowed. In the session behind this article it:
- Listed only the clear false starts and clipped fragments in a recorded talk, checked the exact word timings for each, and built a conservative edit with a retimed transcript.
- Rendered the speech-led cut with audio and picture together and reviewed the export for abrupt cuts and timing problems.
- Mapped a reported jump cut back to the source speech around it and inspected that region to decide whether to soften or restore it.
- Identified the exact words to remove in both the audio and the subtitles.
- Separated the tic instances of the word from the meaningful ones, removed only the sentence-initial ones, and re-rendered.
When does this not work well?
Some tics turn out to be load-bearing. A speaker whose whole rhythm is built on "you know" sounds oddly clipped once Vizard Agent takes them out, and fillers that covered thinking pauses leave gaps where the thinking used to be. Very frequent tics mean hundreds of joins, and on camera every cut risks a visible jump.
Common questions
How does it tell a tic from a real word? Vizard Agent goes by where it sits in the sentence and what follows it, not by the word.
Will the picture jump? It can. Vizard Agent checks the joins and can cover them.
Can I remove a specific thing I said? Yes. Name the moment and the words and Vizard Agent cuts just those.