How an AI content creator and prompt engineer uses AKOOL to move from concept to cinematic social content faster—without the cost and complexity of a traditional VFX production.
Exploring What’s Possible With Generative AI
Seikh Nabab Uddin is an AI Content Creator and Prompt Engineer with around four years of experience working with generative AI. His work spans pop culture, entertainment, advertising, cinematic storytelling and social media, and he creates content both for his own audience and for clients.
Today, Seikh has an audience of around 170,000 followers on Instagram, more than 182,000 on Facebook and approximately 12,000 on Threads. His goal is to take concepts that would traditionally require larger production teams and turn them into engaging visual content much faster.
His interest in generative AI began during college in 2022, when he started experimenting with early tools including ChatGPT, Midjourney and DALL-E. What began as day-to-day experimentation gradually shifted toward storytelling and content creation.
The Video That Changed the Direction
Seikh began focusing seriously on content creation in June 2025. At the time, AI baby videos were trending, so he created his own version of the format. The video reached around 6 million views.
For Seikh, that performance was a turning point. It demonstrated how quickly an idea could reach a large audience when emerging AI capabilities were combined with the right trend and creative execution. From there, he began developing a more consistent AI content workflow.
A Workflow Built Around Fast Experimentation
Seikh’s projects typically begin with an idea and move through prompting, character development, generation, editing and publishing. For more complex concepts, he develops the creative direction and prompts first, then creates character sheets with GPT Image 2. He may also generate specific reference frames before moving into video.
For video generation, Seikh works with models including Seedance 2 and 2.5. As video models have improved, he has increasingly been able to move directly from character references into generated video rather than building every frame separately.
He currently creates around two to three pieces of content per week, depending on the complexity of each project.
Why AKOOL Became Part of the Process
Seikh first tried AKOOL after the AKOOL team discovered his content and invited him to experiment with the platform. Because he was already testing different AI models, having multiple capabilities available in one place immediately fit the way he worked.
The AKOOL features he uses most are AI Video Generation, Image-to-Video and Image Generation. He uses them for cinematic concepts, character-driven stories, transformations and entertainment-focused social videos.
“The biggest difference is that content production becomes much easier.”
For Seikh, the benefit is not only access to the models themselves. It is the ability to experiment quickly without interrupting the creative process to move constantly between different platforms.
“Instead of thinking, ‘Which platform do I need to use for this particular step?’, I can focus more on the creative idea itself.”
The Challenge: A Live-Action Ben 10 Transformation
One of Seikh’s favorite projects began with an ambitious idea: create a live-action Ben 10-inspired sequence in which he transforms into the alien character Wildmutt.
The concept required more than simply generating a visually interesting clip. Seikh needed to maintain his own identity while creating a believable transformation into a completely different character. He also needed enough consistency across the sequence for the individual shots to feel like one connected piece.
He used AKOOL across the project for image generation, image-to-video, video generation, transformation shots and character consistency.
From Concept to Finished Piece in a Couple of Hours
The entire project took only a couple of hours to complete. That difference in production time is significant because a comparable live-action concept could traditionally require professional VFX and CGI, makeup or prosthetics, performers, studio production and extensive post-production.
Generative AI gave Seikh a way to explore the concept without that infrastructure. He could develop the idea, iterate on the visuals and produce a finished social piece within hours.
The final Ben 10/Wildmutt project reached approximately 233,000 views and generated more than 24,000 likes.
Watch Seikh’s featured AKOOL project
More Creative Experiments, Without the Traditional Cost
For Seikh, the larger value of AI video is not limited to making one production faster. It changes which ideas are practical enough to try in the first place.
Concepts that might once have been abandoned because of VFX costs, production requirements or time can now be tested as social content. That allows him to explore more ideas, iterate more quickly and learn from what resonates with his audience.
Creativity Still Comes First
“Treat AI as a creative partner, not a replacement for creativity.”
Seikh believes the tools will continue to become more powerful, but the idea, storytelling and creative direction still come from the creator. His advice is to keep creating consistently rather than waiting for a perfect generation, and to pay attention to trends without simply copying them.
The opportunity, in his view, comes from using the technology to execute an idea that still feels distinctly your own.
Turn Bigger Ideas Into Content
Seikh’s workflow demonstrates how creators can use AKOOL to shorten the distance between an ambitious concept and a finished video—making sophisticated visual storytelling more practical for everyday content creation.
Start creating with AKOOL.