AI TikTok Video Generator

TikTok weights completion heavily. A 20-second video watched to the end generally travels further than a 60-second video abandoned at 40 seconds, even though the second one produced more total watch time. That makes length a strategic choice rather than a matter of how much you have to say.

It also re-tests content. A video that underperforms on day one can be picked up later, which is why deleting and reposting is usually counterproductive and why consistency beats individual optimisation.

Instagram Reels behaves differently: sends and saves carry more weight, which rewards content people forward to someone specific. YouTube Shorts gives a slightly longer runway in exchange for a clearer promise up front. Same video file, three different definitions of success.

A large share of TikTok viewing happens with sound off or in environments where audio isn't practical. A video that only works with sound loses those viewers in the first second, and first-second drop-off is the most expensive kind.

Burned-in captions solve this, and they do it better than uploaded caption tracks because they render identically everywhere and can't be switched off. ShortFast generates them from the same narration the voice reads, so they stay in sync.

The secondary benefit is accessibility, which is worth doing on its own terms and happens to overlap with what the algorithm rewards.

Short-form performance is heavily skewed. Most videos do modestly and a small number do disproportionately well, which means the number of attempts matters more than the average quality of any one of them. Posting once a week gives you very few chances to find the outlier.

This is the actual argument for generated video: not that it replaces good judgment, but that it makes it affordable to take enough shots for the distribution to work in your favour.

The failure mode is generating volume with no variation, twenty videos with the same opening pattern is one experiment run twenty times, not twenty experiments.