AI Video for Reels and TikTok: Practical Workflow (2026)
Updated 2026-09-23

How to Make AI Videos for Reels and TikTok

Build a clear vertical story without promising reach or retention.

A generator can create visual material; it cannot guarantee views, watch time or conversions. Platform interfaces and limits change. Plan a vertical-safe composition, generate simple shots, then add licensed audio, captions and disclosures in the publishing workflow.

Step by step

1

Write a one-sentence concept

State the subject, change and payoff. If the sentence contains several scenes, split it into separate shots.

2

Compose for a vertical frame

Select a portrait option only if currently offered. Keep critical faces, products and text away from interface overlays and crop edges.

3

Prompt one clear shot

Specify subject action and camera motion. Avoid asking the model to create captions; add exact text during editing.

4

Verify current duration and cost

Use the current signed-in controls. This guide does not repeat previous unsupported duration ranges or free-video claims.

5

Edit, disclose and publish

Add accurate captions and properly licensed audio. Disclose materially synthetic media where platform rules or viewer context require it.

Plan a vertical video

Pro tips for better results

  • Preview with interface-safe overlays.
  • Never promise that a hook will improve retention without an actual experiment.
  • Keep exact product text out of generation and add it in an editor.
  • Review platform policies immediately before publishing.

Vertical safe-area review

Preview the clip with typical top, bottom and side interface overlays. Keep essential content near the visual center and add titles in an editor where placement remains controllable.

Measure honestly

Define one metric before posting, compare similar audiences and retain losing variants. A single post cannot isolate whether generation method caused an outcome.

Original vertical crop protocol (not executed)

Test input: Portrait composition of a ceramic cup centered on a small table; steam rises while the camera makes a gentle push in; clean background; no text.

Settings: Nearest portrait ratio, shortest current standard duration, no generated captions.

  • Subject survives UI-safe crop
  • Cup geometry
  • Steam continuity
  • Space for editor-added caption

Status: This separate protocol was not executed. The visible executed sample below uses a different disclosed input and must not be treated as its result.

Landscape sample exposes crop risk

Actual application handler, isolated environment, real provider; not the production browser/UI.

Original geometric mug QA input
Input: original 512×512 programmatically drawn mug.
Output: authentic video-1 artifact.

Prompt: A gentle slow camera push toward the orange mug. Keep the mug shape and handle stable. No new objects.

Recorded settings: 1280×720 landscape output; no vertical or social-platform publishing test.

Observed result and limitations: The teal circle leaves the frame during the push-in, and the opening frames have black side areas.

Why it matters here: This is evidence to preview crop-safe areas, not evidence of 9:16 support, retention, reach or social performance.

This is one of the same three image edits and one video reused across these 12 pages. It is a small illustrative sample and cannot be generalized. Read the evidence manifest.

Frequently asked questions

Is 9:16 available?
Use a portrait setting only when it appears in the current selected workflow; availability can vary by model.
What is the best video length?
There is no universal answer. Communicate one idea efficiently and use your own retention data to revise.
Can I make these videos with promotional credits?
Do not assume so. Video routes are paid-plan gated in the audited code, and promotional grants vary by eligibility.
Will AI video get more views?
No outcome is guaranteed. Creative quality, relevance, distribution, account history and many other factors affect performance.

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