What’s the deal with AI and hands?
Why are your AI images sometimes flagged as NSFW?
How does generative AI even work?
These are just a few of the many questions creative teams are quietly asking as AI continues to transform design workflows. But with the pace of innovation in tools like ChatGPT and Midjourney, it’s hard to know where to start—or who to ask.
That’s why we spoke with Eliott Wahba, CEO of DolFinContent and a leader in AI-powered creative transformation. His team has run hundreds of AI-enhanced campaigns across every type of format you can imagine—and they’ve seen it all.
Below, Wahba breaks down the biggest misconceptions and gives you real, accessible answers.
How does AI actually work?
Generative AI has two major parts:
Data and inference. Think of the data as everything the internet has ever published—text, images, code. The inference engine is what uses that data to generate new output, based on your prompt.
Eliott Wahba puts it this way:
"You don’t need to understand an engine to drive a car, but it helps. AI works the same way. Once you understand what powers the output, you can steer it better."
It’s not magic. It’s advanced prediction, built on mountains of context. And the better your prompt, the better the result.
Why can’t AI get hands right?
Because hands are complicated. AI tools like Midjourney don’t know they’re drawing fingers—they’re manipulating patterns in pixels based on probability. Without clear data and consistent reinforcement, the AI guesses.
"Most humans still struggle to draw hands. AI just makes that struggle faster—and more surreal-looking," Wahba jokes.
The fix? Better prompts, human refinement, and time. These tools are still evolving.
How does AI learn?
AI doesn’t really learn like humans. It finds patterns. It detects associations between words, images, and data points, then uses those to generate responses. The bigger and more structured the dataset, the more “intelligent” it seems.
Wahba compares it to throwing 10,000 baseballs in a row:
"Where a human learns by experience and coaching, AI learns by repetition at machine scale. That’s what gives it its power."
Why are my AI images flagged as NSFW?
AI tools rely on moderation filters and keyword blocklists. Sometimes, those filters are overly aggressive, flagging innocent prompts just because of one ambiguous word.
If your prompt includes words like “body,” “skin,” or “close-up,” it might trigger a false positive.
"AI doesn’t think—it filters," says Wahba. "You have to outthink the filter and use language that guides the tool, not confuses it."
Keep your prompts clean, specific, and context-aware.
Why does AI keep generating people who look like models?
It’s a data bias problem. Most image datasets are pulled from curated content—think stock photos, fashion blogs, and celebrity press. The result? A model-heavy bias.
"If you want realism, you have to ask for it. Specify age, race, imperfections, lighting. Break the default assumptions of the AI," Wahba advises.
Precision beats default. The more you steer it, the better the output.
How is AI disrupting creative industries?
AI isn’t replacing creative jobs—it’s transforming how we use time and talent. Tasks that used to take days can now take minutes. That doesn’t remove value—it shifts where it lives.
"With AI, creatives spend less time rendering and more time thinking. That’s a good trade-off," says Wahba.
DolFinContent has helped clients deliver 3D avatars, animated visuals, and social-ready assets up to 60% faster than before—all while retaining human-led quality.
What new skills matter now?
Wahba says the future belongs to two creative roles:
Art directors and concept creators.
These are the people who know what the final output should look like—and how to guide AI toward it. The skill isn’t using AI, it’s directing it.
"The creative brief is your blueprint. If you can translate vision into prompts, you become 10x more effective overnight."
Will some companies reject AI completely?
Yes. And that’s fine.
Some agencies, brands, or artists will proudly declare, “No AI used here.” It will become part of their branding. Others will embrace AI as a core part of their process.
At DolFinContent, we support both.
"We use AI when it adds value—never just for show. Sometimes AI makes things faster. Sometimes, we go fully human. The point is: We choose based on what’s best for the work," Wahba explains.
Final Thoughts: What Creatives Need to Remember
- AI doesn’t replace creativity—it enhances it
- Great prompts lead to great results
- Human direction is still irreplaceable
- Know your data, your tool, and your goals
You don’t need to master the science of AI overnight. But you should stay curious, keep learning, and lean on partners who’ve done the heavy lifting already.
At DolFinContent, we build the AI workflows, test the tools, and refine the pipelines—so you can focus on the vision, not the variables.
Want to see how we bring AI to your creative team?
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