How Do I Make AI Drama Videos for TikTok?

What the feed rewards

A drama on TikTok or Reels is judged in the first seconds and again at the last one. A creator whose serialized AI dramas reached ten million views in a month boiled the opening down to one job:

The first five seconds stops the scroll. Nothing else.

The same post, in r/aivideos, gave the other half: every episode ends on a question the viewer needs answered, and the creator posts every day and writes the next episode towards what the comments reacted to. That is a production rhythm as much as a creative one, and it is the part most AI tools are not built for. Social platforms are one of the biggest topics in the community corpus, about 15,000 posts, and short drama itself carries a label on about 4,200.

Decide the frame before anything exists

Vertical has to be a decision, not an export setting. On SceneMixer the aspect ratio is a project setting; reference art and every shot are composed for it. A landscape episode cannot be cropped into a vertical one later — there is no reframing pass — so set 9:16 in Step 1, before any character sheet is drawn. The dialogue language is chosen at the same moment and the lines are written in it, rather than dubbed afterwards. Both choices propagate into every image and line; changing them later means regenerating art.

Write for the hook and the cliffhanger

The read of your script builds episodes that suit the feed: openings start on the problem, and episodes end unresolved, with the kind of ending rotating so the series does not repeat itself. Read the episode list before rendering anything — each outline states how that episode ends — and fix the endings as text, which is free. Fixing them as video is not.

Length matters. Sixty to a hundred and twenty seconds is the working band for vertical short drama, and the outline paces for it; the format's ceiling here is 240 seconds per episode. Measured on SceneMixer over the 30 days to November 6, 2026, the median finished episode ran 80 seconds over 7 segments, and 28% of projects that finished an episode went on to finish more — the shape of a series, not a one-off.

Captions, covers and posting

The video comes out clean, with no text burned in. That is deliberate: no current video model spells reliably, and burned-in captions would freeze one language into the file. Accounts that have bought credits can add dialogue subtitles over the finished video or download an SRT file; otherwise caption on the platform, where you can change captions per post. Hook cards and end cards work the same way — overlay them on the platform.

There is no direct posting integration: you download the finished episode and upload it yourself, which is also what lets you caption the same master differently for each platform. Free accounts' videos carry a small AI badge in the corner; members can switch it off and add the platform's own AI label instead.

A practical sequence for a feed series

1. Set 9:16 and the dialogue language in Step 1.
2. Read the episode list; fix the openings and endings as text.
3. Render one segment and watch it on a phone, not a laptop.
4. Render one full episode before committing a season.
5. Caption and publish per platform from the same clean master.

On cost, a feed episode is priced by its seconds: 10 credits per second on the default tier plus 1 credit per second to join, and the median finished episode on the site last month used 1,027 credits. The page on AI drama for TikTok and Reels has the full feed checklist, and the answer on monetizing AI videos on YouTube and TikTok covers the money side.

Limitations for feed episodes

• No reframing: a landscape project cannot be turned into a vertical one by cropping. Decide in Step 1.
• No burned-in hook text or end cards from the video model; add them at the platform or in an editor.
• No posting for you: export and upload.
• Platform rules on AI content and disclosure are the platform's and change; read them yourself.
• The site figures are one month of SceneMixer projects, refreshed monthly; the community counts are keyword approximations.

FAQ

Related: keeping the same characters in every episode covers the series side, posting to TikTok, Shorts and Reels covers uploads, and the community counts follow the collection method.