We Examined Utopai's PAI: The Greatest Lengthy-Kind AI Video Generator Right now? – Decrypt

Most AI video instruments are constructed for the spotlight reel. Sora, Kling, Luma, Runway—all are optimized for the second of spectacle: a hanging five-second clip, a visible experiment that appears spectacular on social media.

What they hardly ever remedy is the half that truly issues to skilled storytellers: scene-to-scene consistency, character identification throughout cuts, and granular artistic management that doesn’t require beginning over each time one thing is barely off.

That’s the hole Utopai Studios goes after with PAI. Its group, drawn from Google Analysis, Meta Superintelligence, Amazon AGI, and Adobe Firefly, constructed PAI particularly for long-form cinematic manufacturing: as much as 16 photographs in a single narrative circulation, outputs as much as one minute in size, and backbone as much as 4K.

It additionally consists of built-in copyright safety that blocks era towards protected IP, copyrighted characters, and actual public likenesses—a characteristic geared toward studios and professionals who can’t afford unintentional infringement.

PAI simply opened to the general public earlier this month. We received in, frolicked with each stage of the workflow, and misplaced some credit alongside the best way. Right here is the total image.

Interface

The principle display appears like ChatGPT or any typical chatbot interface. From there, you navigate 5 tabs: Characters, Storyboard, Video, Editor, and Historical past.

However don’t let this idiot you: PAI is just not a prompt-and-wait device like Sora or Veo. It’s a structured manufacturing pipeline with a pure language layer on prime, and the excellence issues—rather a lot—when credit are on the road.

Characters

That is the strongest characteristic in the complete suite, and presumably essentially the most spectacular character era system presently out there in any AI video device.

Customers can both let the mannequin create characters by itself or feed it reference photographs to work from. What it does is just not face-swapping—it doesn’t transplant an actual particular person’s likeness the best way deepfake instruments do. As an alternative, it generates completely new fashions which can be extraordinarily near the reference, with out the authorized and moral issues that include direct face substitute. All outputs are watermarked with SynthID.

Most AI-generated characters have a waxy pores and skin high quality that offers them away instantly. PAI’s don’t, or a minimum of not on the identical scale. The pores and skin texture appears life like, as is the best way mild interacts with the face, and the main points are robust. Whether or not this comes from a proprietary mannequin or an unusually refined era workflow, the outcomes converse for themselves.

Character enhancing is finished by pure language: I generated a personality utilizing my spouse’s look as a reference, however discovered the consequence approach too skinny—so I requested the mannequin to regulate the physique proportions to raised match the reference. It understood precisely what I meant and corrected it.

The one constant caveat: it’s sluggish. Even primary character picture era takes a few minutes per run.

Storyboard

You’ll be able to run the storyboard on auto and have the mannequin do the whole lot for you, however that’s not what it was constructed for.

PAI rewards detailed enter right here. The extra you clarify—what the characters do throughout every scene, what they are saying, and the way the story strikes—the higher the mannequin works. Feed it that specificity and it’ll use AI to broaden on the main points, then assemble round a dozen keyframes. Every body comes with a scene picture and an outline of what’s occurring at that precise second: character actions, dialogue, and visible composition.

You’ll be able to edit every keyframe individually earlier than committing to something. The management is genuinely granular. As soon as you might be glad, you inform the mannequin to proceed, and it asks for closing affirmation earlier than rendering. This review-before-render circulation is sensible design. It forces deliberate selections and catches issues earlier than they develop into costly ones.

That stated, even the smallest edit takes time and burns credit. Transfer rigorously.

Video era

When it really works, a profitable render takes round half-hour to supply one full minute of video. The output high quality justifies that wait. Digital camera angles change naturally and respect the established keyframes, lighting is pure, and characters should not have the hole, vacant high quality that makes most AI video generations really feel lifeless. Voices are constant throughout scenes, with correct intonation that holds even after cuts to different components.

When the digicam refocuses on a personality after exhibiting one thing else, they arrive again trying precisely as they left. Background surroundings stays secure all through, and whereas warps and artifacts exist, they’re minor. One weak point: The mannequin doesn’t deal with in-video textual content nicely. It may possibly produce primary textual content components, however don’t depend on it for something that requires exact on-screen typography.

Right here is one pattern of a era made with the whole lot routinely dealt with by the mannequin.

Now for the more durable half. One among our check sequences failed three consecutive occasions. The primary try took round 45 minutes, consumed credit as if a full video had been generated, and produced an empty consequence. We advised the chatbot it had not generated something. It acknowledged the error and restarted.

An hour later, nonetheless nothing. We tried a 3rd time. Identical final result. Three makes an attempt, important credit score loss, and 0 footage. By the point we gave up, we have been nearly out of credit completely and needed to transfer on.

This isn’t a minor bug if you end up paying actual cash and dealing inside skilled timelines. The interface acknowledges that errors occur. Experiencing it instantly is a distinct factor, particularly contemplating that you’ll want a constructive stability to obtain a video in case your credit have been consumed through the era course of.

In our first check with the whole lot auto-selected, I made a consumer error: I fed two reference pictures with out specifying which character ought to use which, and the mannequin assigned them in reverse—the male character (me) was generated from the feminine reference (my spouse), and vice versa.

Neglect about that traumatic picture of me as a girl, and the ensuing video nonetheless ended up being essentially the most constantly rendered long-form AI video I’ve produced. Even with the incorrect references, the mannequin held visible and tonal continuity from scene to scene. That claims rather a lot in regards to the underlying structure.

The lesson from each experiences is identical: regular AI video instruments assume the whole lot for you, which suggests you should not have to assume a lot—however you even have to just accept no matter they resolve. PAI provides you management. And with that management comes full accountability for what you set in.

Editor

As soon as a video is full, the Editor tab enables you to direct revisions completely in pure language. Insert components right into a scene, delete them, change colours, modify lighting, rephrase dialogue, or replace the lip sync, and the mannequin re-renders accordingly. It genuinely understands what you might be asking.

This isn’t a post-processing filter. It’s an iterative, AI-driven revision on the scene degree. The power to explain an editorial intent and obtain corrected footage in response modifications the artistic relationship between a director and their materials completely. This characteristic, greater than the rest in PAI, appears like the place AI video enhancing could also be going within the close to future.

For instance, after watching the primary video, I requested the mannequin to repair the misgender mistake utilizing the correct references.

As soon as processed, it went from this:

To this:

Historical past

The Historical past tab logs a full timeline of each interplay: prompts, edits, render makes an attempt, the whole lot.

For solo creators, it supplies helpful context. For groups, it could be an actual collaboration layer the place completely different customers can see how colleagues have directed the mannequin, perceive what labored and what didn’t, and proceed from a shared artistic file.

Pricing and backside line

PAI pricing is $100 for 10,000 credit. In our exams, 2,000 credit lined 4 movies (one accomplished, three not) totaling 4 minutes—two characters generated per video with a number of iterations earlier than render, storyboard improvement on wealthy and detailed prompts, and round two rounds of post-render enhancing.

Total, PAI seems like an expert device constructed for individuals who actually take AI video critically. It’s sluggish, unforgiving of inexperience—it might frankly use a pleasant tutorial—and able to burning your funds in a short time. The interface is just not fail-proof, and the system will punish you for moving into underprepared.

After a primary session spent studying the way it thinks, our second spherical of testing produced very shocking and pleasing outcomes—the sort that sometimes require face-swap methods, rounds of trial and error, and edits in publish.

For skilled video creators, to whom continuity, IP security, and cinematic high quality are non-negotiable components, PAI is the most effective long-form AI video system out there proper now. Repair the reliability points, and nothing else comes shut, a minimum of for now.