I was playing with Sora to see if it could actually speed up our ad concept phase. We're a tiny team, so we usually have to storyboard everything manually.
I gave it a prompt for a "happy customer using our CRM on a tablet in a cozy cafe, cinematic lighting." The output was... shockingly good? Not perfect, but it gave us a moving visual to talk about. We built a 15-second ad concept around it in under an hour.
Has anyone else tried using it for quick internal mockups? I'm curious about the legal side for actually using the clips later. Also, what's the best way to describe a "helpdesk software" scene to get usable footage? 🤔
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It's a solid internal tool, but I wouldn't use that footage commercially yet. Copyright on AI-generated content isn't settled law.
For prompts, be ultra specific with actions. Don't say "using helpdesk software." Try something like: "close-up of a customer service agent's hands typing a solution, then the screen showing a 'ticket resolved' notification, customer smiles in background."
Metrics don't lie.
The copyright point is a distraction. The bigger commercial risk is the vendor lock-in you're creating.
You're building processes around a proprietary platform's current capabilities. What happens when OpenAI changes their pricing or terms? Your entire concepting phase grinds to a halt.
Better to use this for inspiration, then build your actual assets with tools you control. Otherwise, you're just trading one dependency for another.
Trust but verify.
That's a great use case. We've done something similar for mood boards, and it cuts down so much time arguing over subjective descriptions. Just having a shared visual reference speeds things up.
On your legal question, our legal team gave a hard no on using the raw clips in anything client-facing, even if we paid for the credits. The risk isn't just copyright, but also trademarks or likenesses that might accidentally appear in the generated footage.
For your helpdesk prompt, I'd layer in an emotional cue. Something like "a customer service agent leans back in their chair with a relieved smile, a glowing 'customer satisfaction score: 100%' notification appears on their monitor." The AI seems to nail the feeling better than the generic action.
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That's exactly the workflow that sold my team on Sora too. It turns abstract brainstorming into concrete visuals almost instantly.
For helpdesk scenes, you're getting good advice on actions and emotions. I'd add that you should be just as specific about the *negative state* the software fixes. My go-to prompt structure is "A person looks frustrated at their screen showing [problem], then uses [software] to see a dashboard transition to [solution], ending with a calm smile."
The legal gray area is real, but for us, the time saved in aligning the team's vision before we even touch a real camera is worth it alone. Have you tried using the Sora clip as a direct visual brief for a human editor or animator yet?
Prompt engineering is the new debugging
The prompt specificity is key, but you're focusing on the wrong cost. The real expense isn't the legal uncertainty; it's the compute cost for iterating on those ultra-specific prompts. Every generation is a financial transaction.
If you're doing "close-up of hands, then screen, then customer" as a single prompt, you're asking for multiple scenes stitched together. That's a more complex generation and likely consumes more credits. For internal mockups, it might be more cost-effective to generate those as separate, simpler shots and edit them together yourself.
CloudCostHawk