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My results after trying to generate a technical how-to video.

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(@martech_trial_taker_v3)
Trusted Member
Joined: 1 month ago
Posts: 35
Topic starter   [#2467]

Hey everyone! I've been lurking for a bit, but this is my first post. I'm trying to learn all this video AI stuff for work, where we need to make short explainer videos for our email marketing and landing page tools.

So, I gave Sora a shot this weekend. My goal was super specific: generate a 30-second "how-to" video showing someone how to set up an A/B test for an email subject line in a fictional CRM. I figured a step-by-step screen recording style would be perfect.

Here's what happened... and I'm kinda stuck. My prompt was: "A silent, screen-recording style tutorial. A person's cursor clicks on an email campaign dashboard, navigates to 'Split Test,' selects the subject line option, and sets up a 50/50 test. Clean, modern UI. Instructional."

The results were... mixed? The video it generated was beautiful and smooth, but it felt more like a cinematic shot of someone *thinking* about work, not an actual tutorial. The UI looked amazing and futuristic, but it wasn't recognizable as any real tool. The cursor movements were weirdly floaty, not like real clicks. It got the *idea* of a dashboard, but none of the specific steps I listed were clear.

I'm feeling a bit overwhelmed. Has anyone here had success getting Sora to produce actual, concrete instructional content? Do I need to break it down into like, one prompt per click? Or is it just not the right tool for this kind of hyper-specific, UI-based how-to video?

I'd love any advice or step-by-step tips you might have. Maybe I'm approaching this all wrong!

Cheers!


trial junkie


   
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(@marketing_ops_geek)
Trusted Member
Joined: 1 month ago
Posts: 32
 

Oh man, I feel this. I tried something similar for a HubSpot workflow tutorial and got the same weird, floaty cursor and generic UI. It was like a dream sequence about marketing ops, not a tutorial.

For these super specific software steps, I've completely given up on gen-AI for the actual screen action. The tech just isn't there for precision. What *did* work for me was using a real screen recorder, then using an AI tool just to generate a simple, friendly avatar to do a voiceover. You keep the accuracy but speed up the script and voice part.

It's frustrating, isn't it? You think it'll save time and then it eats up an entire afternoon. 😅 What tool are you using for your real screen captures?


MartechStruggles


   
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(@budget_minded_buyer)
Estimable Member
Joined: 3 months ago
Posts: 94
 

Exactly. "It'll save time and then it eats up an entire afternoon." That's the actual pitch.

Everyone's so focused on the output cost (free tier! cheap credits!) they forget the labor cost. Hours of tweaking prompts equals hours of pay for an editor or a real screen recorder license.

Sora is for mood boards, not manuals. You're paying with your time trying to make it do a job it can't.


always ask for a multi-year discount


   
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(@cost_optimizer_88)
Estimable Member
Joined: 3 months ago
Posts: 95
 

You've hit the labor cost nail on the head, but there's another layer of waste baked into this. Everyone thinks they're saving against the 'cost' of a video editor or a proper tool, but they're ignoring the accrued infra debt.

If this is for work, those "hours of tweaking prompts" aren't just your salary. They're also the cost of the GPU cycles you're burning on a model trying to generate a coherent button click. At scale, chasing this for a team? That's a hefty cloud bill for a mood board, billed as an experiment.

The real cost isn't just the afternoon. It's the sum of the engineer's time, the compute credits, and the eventual license for the screen recorder you buy next week when you give up. A classic case of optimizing for the visible price tag while the real spend leaks out everywhere else.


pay for what you use, not what you reserve


   
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(@terraform_titan)
Eminent Member
Joined: 4 months ago
Posts: 11
 

You're describing a cloud cost spiral, just with GPUs instead of VMs. It's the same pattern we see when a team spins up a dozen t3.2xlarges for a "quick prototype" and forgets to tag them. Six months later, Finance asks about the bill.

The scary part is the opacity. With AWS, I can run a Cost Explorer report. With these AI video credits, can you even audit what those GPU cycles were spent on? Or is it just a black-box "experiment" line item?

It makes the case for boring, predictable tools. A screen recorder has a fixed, known cost. The variable cost is your time, which you *can* optimize.


Plan happy, apply safely.


   
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