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To be honest, what made me most anxious wasn't how cool the AI video itself was, but that I tried for an entire week and still hadn't even seen what Sora's input box looks like.

After subscribing to GPT Plus, the access wasn't instant. Some people waited two days, some waited half a month—the official team didn't give a clear timeline. I kept refreshing the status every day, only to see "Coming soon."

So I switched tactics. I chose a service that directly provides OpenAI Sora access—getsora2. Instead of "applying," I just "got in."

From "waiting in line" to "getting started immediately"

After using getsora2, logging in, connecting, and starting to create took no more than ten minutes. I no longer had to refresh the waiting page or worry about whether my region was supported. When that familiar text input box appeared, I breathed a sigh of relief.

My first input was: "A cat wearing a denim jacket jogging on a Tokyo street, the sky is gray, convenience store lights are on." After about a minute, the output appeared: the cat's movements were smooth, the jacket's reflections were well handled, and the transition from daylight to dusk had almost no stiffness. At that moment, I felt the money was well spent.

When I really started testing, problems emerged

After generating five videos, I figured out some tricks.

Lighting and physical details are Sora's strengths. In one scene, I requested "a glass slides off a table, shatters, water splashes." The trajectory of the glass shards wasn't random scattering—there was noticeable inertial bouncing. To be honest, this was more realistic than many desktop video tools.

But long shots and facial expressions are less stable. I tried to generate "a girl turns back and smiles in a coffee shop, camera slowly zooms in." The first few seconds of the output were fine, but during the zoom, the girl's face had an obvious jitter—kind of like a focus issue. Not every clip had problems, but the failure rate was about one in five.

So if you're doing product showcases, architectural walkthroughs, or concept clips, Sora's usability is quite high now. But if you need stable close-ups of people or continuous facial expression changes, I recommend generating multiple versions as backups.

Use cases: what's worth trying and what to set aside for now

I tested three categories of use:

1. Creative short video previews—use text to generate 10- to 15-second concept clips, then apply filters in post-production and use them directly. Sora performs very steadily in this scenario, especially for night neon lights, natural scenery, and mechanical motion. The output also allows plenty of room for editing and color grading.

2. Brand visual snippets—for example, "a black backpack on a wooden table, sunlight streaming in from the left window, dust floating in the light beam." The light and shadow control is precise; the dust particles aren't uniformly distributed but vary in density, looking natural. However, if you require "the brand logo must appear in the image," Sora currently can't render text with high precision—you'll have to overlay it in post-production.

3. Narrative short films—multiple characters, continuous actions, emotional progression. This scenario is still not stable enough. I made one: "a boy runs into a phone booth in the rain, makes a call, his expression changes from anxious to relaxed." At the third second, the character's head and body posture became misaligned, requiring manual correction. Not unusable, but still needs fixes.

Platform dependency: should you jump in early?

Using OpenAI Sora access now feels a bit like using AI painting in 2019—the technical ceiling is exciting, but the workflow and stability are still in development.

My take: if you already have clear visual needs and editing preparation, now is a good time to start. The generated material can directly shorten your pre-production testing time. But if you expect to "type one sentence and get a finished video," I suggest waiting for one or two more version iterations. Right now, Sora is one of the best AI concept generators, but not yet a final delivery tool.

In this regard, getsora2 does something very practical—it removes the barrier. It's not that you don't need a learning curve; it's that you don't have to waste time wondering "can I use this?" For a creator, being able to take action is what matters most.