Why Generating an AI Video Is Easy, but Building a Usable AI Video Ad Product Is Hard

Over the past year, I've spent a lot of time exploring AI tools, especially AI video generation.

And it's pretty amazing how much things have changed.

You can upload a product photo, write a prompt, and get a video back in minutes. Things that used to take a lot of time and effort are becoming much easier.

But there's something I keep coming back to.

If creating videos is getting easier, why does making a useful video ad still feel so complicated?

I started thinking about this when I was working as a product manager on AI SaaS products. We worked with ecommerce businesses, including some large cross-border sellers in China. Some of them needed to produce a huge number of video ad variations—not just one or two polished videos.

The way they worked was interesting, and a lot more hands-on than you might imagine.

That experience stayed with me. And it's one of the reasons I eventually started building Sprokl, an AI video advertising product for ecommerce sellers.

Let me explain.

1. A Little Background: Why I Wanted to Build This

I've worked in product management for years, including at SaaS companies where I had opportunities to speak with customers and work on products in the AI video advertising space.

I'm also someone who genuinely enjoys making visual content. I like photography, shooting videos, and editing. So when AI started changing what's possible in video creation, it was hard not to get curious.

Earlier this year, I left my job for personal reasons. As I thought about what I wanted to build on my own, I found myself coming back to the same space.

Not because the world needed another video generation tool. There are already plenty of impressive ones.

What interested me was the gap between an exciting AI demo and the messy, repetitive work of actually producing ads for a business.

2. What I Saw Working With Ecommerce Teams

One of the clearest examples came from cross-border ecommerce companies I encountered in China.

They weren't struggling to make a single video. Their challenge was volume: making enough different ads to test, learn, and keep campaigns moving.

Some companies hired editors in smaller cities to help with production costs. The work itself was often manual. Editors would cut footage, try different hooks, rearrange scenes, and make new versions of existing ads.

Then the performance team would run those ads and look at the results. If a particular creative performed well, it became a reference for the next batch. The editors would make more variations inspired by that format.

So the loop looked something like this:

Make ads → run campaigns → study performance → identify promising patterns → brief editors → make more ads.

I don't think there's anything wrong with learning from real campaign data. That's exactly what marketers should do.

But the handoff from insight to new creative could take time. And if the team kept reworking a few familiar templates, it wasn't always easy to explore new creative directions.

In a fast-moving campaign, a slow production cycle can mean missing the moment when a concept is most relevant.

I also came across promotional editing for short-form dramas—taking highlights, testing different openings, and cutting versions for distribution. That was another reminder that video advertising isn't one universal workflow. Different businesses have different production habits.

I don't claim to have mapped every customer's process. These are observations from the kinds of teams I worked with, and they're part of what made the problem interesting to me.

3. AI Could Make This Faster. But What Exactly Should It Do?

When we talk about AI video, it's easy to focus on the output: realism, camera motion, quality, or which model is best.

Those things matter. But I started asking a different question:

What if AI helped teams go from “this creative seems to work” to “here are three meaningful ideas we can test next” with less manual work?

Say a small store already has product footage and one ad that performed well. They might want to keep the product shots but test a different hook. Or reuse the overall pacing, but change the story. Or turn one piece of footage into variations for different audiences.

They don't necessarily need AI to invent every frame from scratch.

Sometimes they need help understanding what to change, organizing the available footage, and making a new version without repeating the whole process.

Regenerating everything can also mean more iterations and more cost. That's why I've become interested in combining AI assistance with clear, editable steps.

4. Who I'm Building Sprokl For

I'm starting with a fairly specific audience: smaller ecommerce businesses, especially Shopify and independent store owners who need video ads but don't have a large in-house creative team.

A seller may already have product photos, demonstration clips, or a few videos from earlier campaigns. But turning those assets into new ad concepts can still take time.

I also want to learn from small marketing agencies that make ads for multiple ecommerce clients.

These are the groups I want to understand first—not customer segments I can already claim to have fully validated.

My goal isn't to build a tool for everyone who wants to make a video. It's to make a particular advertising workflow more manageable for people doing it repeatedly.

5. Why Another AI Video Tool?

That's a fair question. Products like Creatify and other AI advertising tools already offer useful capabilities.

I don't think the best way to stand out is to claim that Sprokl will generate the most spectacular video or have the longest list of models.

What I care about is the experience around generation.

Many AI products give you powerful options: text-to-video, image-to-video, avatars, voices, reference clips, model settings, and more. If you're comfortable with creative tools, those options can be exciting.

But a small business owner may not want to become an expert at model selection or prompting. They just want to make an ad that communicates their product clearly.

There's also the question of control. Chat-based interfaces can be great for exploring ideas, but I don't think every editing decision should have to become another message in a conversation.

If a marketer wants to keep a specific clip, swap the hook, or review the script before rendering, a structured interface can make those choices easier to see.

So the direction I'm exploring is a familiar graphical workflow with AI helping at the right moments.

AI can suggest and analyze. The user can review, choose, and adjust.

To me, that's a more practical starting point than asking someone to hand the whole process to a black box.

6. From a Prompt to a Real Creative Workflow

In Sprokl, I'm building around something sellers already have: their own product materials.

The core workflow is designed to move through four stages:

1. Product assets: Start with existing product photos and video clips.
2. Creative concepts: Explore advertising angles before committing to a final video.
3. Script and visual review: See how the message, scenes, and available footage fit together.
4. Production: Turn the chosen direction into a finished video, including editing elements such as captions and voiceover.

What matters to me is that users have a chance to understand the creative direction before spending time and money on production.

I'm also developing an Ad Clone workflow. The idea is to study a reference ad's creative structure—its opening, pacing, scenes, and narrative—and adapt those patterns using the seller's own product assets. It's about learning from a creative approach, not simply copying someone else's finished ad.

Ad Clone is still in development, so I'm not presenting it as a released or proven feature. But it represents the kind of control I want the product to offer.

7. The Hard Part Isn't Just the Video Model

Working on Sprokl has reminded me that a good AI model is only one piece of a usable product.

What happens when an analysis step fails? How do you explain an AI-generated creative suggestion? What if a user likes the script but wants a different shot? Can they reuse the assets they already uploaded?

And most importantly: can someone finish the task without having to understand the technology behind it?

These aren't just model-quality questions. They're product-design questions.

I used to think a lot about adding capabilities. Now I spend more time asking which decisions the product should simplify—and which decisions users should still control.

I don't have every answer yet. But the more I work on this, the more I believe that making AI usable is a different challenge from making AI impressive.

8. What I'm Learning Next

Sprokl is still a work in progress. I'm improving the existing experience, developing the new Ad Clone workflow, and working toward a more reliable end-to-end process.

I'm also trying to spend more time listening to actual sellers and marketers.

It's easy to design a neat workflow on a whiteboard. Real businesses rarely work that neatly. Different teams have different bottlenecks, from coming up with concepts to finding footage to producing enough variations.

I'm interested in understanding where a more flexible workflow could help. That may eventually mean adapting parts of the product to particular needs, but I don't want to promise custom integrations or APIs before I've learned what users actually need.

If you're an ecommerce founder, marketer, or someone building AI creative tools, I'd love to ask you one question:

Which part of making video ads takes the most time for you right now?

Is it generating ideas, writing scripts, choosing footage, editing variations, or turning campaign insights into your next round of creatives?

I'd genuinely love to hear how you're doing it today.

I'm sharing what I learn while building Sprokl. If this problem sounds familiar, feel free to leave a comment or reach out.

For me, the interesting future of AI video advertising isn't just about producing more videos. It's about making the creative process easier to understand, control, and improve.

I'm an independent founder with a background in SaaS product management and AI products. I enjoy photography, video editing, and building simpler experiences for complicated workflows.

Disclosure: I'm the founder of Sprokl, the product discussed here. This article reflects my own professional experiences and product thinking, and was drafted with AI writing assistance.