How HappyHorse Evaluates AI Video

HappyHorse looks at model quality through the lens of real use: product ads, launch clips, talking avatar videos, onboarding visuals, prompt consistency, and reference control.

That means a flashy result is not enough. A result should also feel repeatable, controllable, and useful in a practical workflow.

The main evaluation lenses are motion quality, prompt adherence, image-to-video stability, scene coherence, and whether the output already feels close to something a real team would ship or test.