Hi.
Let's talk about multi shot prompting.
So the way this works is if you generate a clip with Vo three you get eight seconds.
And eight seconds.
Might be the ideal length for a shot for you.
But actually in a lot of cases you want shorter clips like especially if you're doing TikTok or you
know, if you're making something a bit more energetic, you'll want a lot of different scenes happening
in the same in the same movement.
So the way that I typically do this, and again, it's not a special format is I just very clearly label
where the cuts are.
So, you know, this is one good way to do it.
You could also do it with JSON prompting, but we'll submit this and see what it comes back with.
And let me just talk you through this prompt.
So saying cut one medium close up of a confident tech founder speaking at a product launch event, a
clean, modern stage with the company logo projected behind him, he says our platform reduces costs
by 40%.
Soft audience chatter.
So we've explained who it is.
It was the subject of the video.
We've explained the environment and that's kind of set the scene.
And then we've also said what he needs to say and some background sounds.
Then it goes to cut to so you know, a natural amount of the way through this clip, it's going to kind
of black out and go to the next scene, just like in a movie where they cut from one scene to another
or one one shot to another.
And this is going to be a reaction shot of the audience nodding and clapping over the shoulder, framing
bright stage lights in the background, smooth pan across smiling faces.
So we've got this cut.
You know, this.
This is like a two cuts in one prompt.
And the really nice thing is you can when you get it into like a video editor afterwards, it's usually
a very clear delineation between the two.
So you can actually chop them up.
So it saves a bit on your Vo three credits because you're burning through them otherwise.
All right this is done.
So let's see what they say.
Perfect.
Did exactly what we asked it to do.
If you want to see that same thing, but in JSON, I'm just going to paste this across here and you'll
see, you know, it's just a little bit more precise.
It's got an array here of shots.
And then cut one.
It gives you the camera angle movement, the environment, the character and the dialogue etc..
So it's just like a more precise way essentially, of saying what we just said.
And you know, you can generate this type of JSON by just by asking ChatGPT or asking Gemini and saying,
here's the sort of thing I want.
Can you, you know, give some direction in terms of the camera shots, the environment, the characters,
and it's really, really good at doing this.
Okay.
Come back.
All right.
The angles a little bit off with the way the audience are not looking directly at the guy, but I really
like the way the camera panned around there.
And I think that's because you said movement smooth pan here so you can experiment with that.
And yeah, there's a lot of a lot of potential with this type of approach.