AI video guides
The longer pieces: what a release changes in practice, how two models compare on their published specifications, and which tools do which job. Written from the makers' own documentation, with the source named.

One scene, three prompt formats
A screenwriter's guide to the three ways AI video models want a scene written: LTX reads a flowing paragraph, MiniMax H3 a tagged shot list with timed cuts, Kling a timeline pinned to keyframes. The same scene in each.

After Sora: the AI video APIs still taking requests
OpenAI switched off the Sora 2 API on 24 September with no replacement named. Four AI video APIs a Sora integration can move to — xAI, Google, MiniMax and Kling — and what each one asks of you.

Editing AI video in ComfyUI
ComfyUI is no longer only where AI video gets generated. September's releases added nodes to join clips, loop over them, erase objects, edit footage with a prompt and grade in film colour spaces. What each one does.

Kling 4.0 vs Kling 3.0: what actually changes
Kling 4.0 doubles the clip length to 30 seconds, adds up to ten keyframes, stereo sound and 10-bit HDR, and more than doubles the references one AI video can take. Kling's own comparison, line by line.

Writing a shot list for Kling 4.0's ten keyframes
Kling 4.0 lets one 30-second AI video pass through up to ten pinned keyframes, with a prompt of up to 8,000 tokens to carry it between them. How Kling's guide says to plan that, written up for screenwriters.

LTX-2.5 or MiniMax H3?
Two open-weights AI video models that generate sound with the picture came out within a fortnight of each other. LTX-2.5 and MiniMax H3 compared on size, output, references and the licence terms that decide who may run them.