since we're building on top of LLMs which are by nature probabilistic, you won't produce the exact same frame-level cut each time, but of course there is still determinism in the expected outputs
for example, if you have a workflow setup to create 5 clips from a podcast and add b-rolls and captions and reframe to a few different aspect ratios, any time you invoke this workflow (regardless of which podcast episode you're providing as input), you'll get 5 clips back that have b-rolls, captions, and are reframed to a few different aspect ratios
however, which clips are selected, what b-rolls are generated, where they're placed — this is all non-deterministic
you can guide the agent via prompting the tiles individually, but that's still just an input into a non-deterministic machine
for example, if you have a workflow setup to create 5 clips from a podcast and add b-rolls and captions and reframe to a few different aspect ratios, any time you invoke this workflow (regardless of which podcast episode you're providing as input), you'll get 5 clips back that have b-rolls, captions, and are reframed to a few different aspect ratios
however, which clips are selected, what b-rolls are generated, where they're placed — this is all non-deterministic
you can guide the agent via prompting the tiles individually, but that's still just an input into a non-deterministic machine