How to make a count-the-word video where the number is actually right
Ask Vizard Agent to index every occurrence of the word across the catalogue, then to check that index against the raw captions rather than trusting it. It reads each hit in context to discard the ones that mean something else, cuts the clips that survive, and counts what is actually in the finished video. That is the number you put on screen.
What do you type into Vizard Agent?
Ask for the index and the verification as a single instruction. A plain transcript search gives you a list that is roughly right, and roughly right is the one thing this format cannot survive. Pin the word down first, including whether variants count and which senses of it Vizard Agent should include.
Prompt
What does Vizard Agent actually do?
A count-the-word video is a promise. If the number on the end card does not match what a viewer counts, it fails at exactly the moment it should pay off. So Vizard Agent treats a transcript search as a starting point, not an answer: published captions drop, merge and mis-hear words, and clips get dropped along the way. In the session behind this article it:
- Built the episode list for a catalogue of eighty-six podcast episodes and downloaded the captions for every one, before downloading any video.
- Indexed every spoken occurrence of the word, cross-checked that index against the raw captions, and read every occurrence in context.
- Downloaded only the sections that survived and built one audio strip of them.
- Transcribed the strip for exact word timings, listed the precise in-clip position of every occurrence, and cut each clip around its own word boundary.
- Checked every caption moment on the render.
- Took the final count from what was in the finished cut, not from the search total.
When does this not work well?
Some words cannot be counted reliably at all, and Vizard Agent will say so early. A word that appears inside other words inflates the index, a mumbled one gets missed, and a catalogue with no usable transcripts has to be transcribed first. Very common words make the count meaningless, and ambiguous senses need someone to decide which ones count.
Common questions
Why check the index twice? Because published captions miss and mangle words. Vizard Agent verifies.
What if there are too many? Vizard Agent trims to length and re-counts what remains.
Can I see what was excluded? Yes. Vizard Agent lists each exclusion with its reason.