Ayomiposi Oyeniyi
AI video creator helping brands, artists and creators
This video isn’t a showcase of where I am.
It’s a reminder of where I started.
When I first started learning AI video, I wanted to understand one thing:
How do you turn AI-generated clips into an actual story?
This was one of my early experiments using Google Flow AI.
I was experimenting with a dark, psychological-horror concept built around a mirror, a character, and the feeling that something was watching him.
At the time, I was still learning how to control things like:
→ character consistency
→ camera movement
→ scene continuity
→ atmosphere and lighting
→ pacing between shots
→ turning separate generations into one connected narrative
Looking at this video now, I can clearly see things I would do differently.
And honestly, that is the part I value most.
The goal was never to create a perfect video on the first attempt.
The goal was to learn.
Then test.
Then improve.
Then test again.
And that process has completely changed how I approach AI video today.
I’m getting better at thinking beyond:
“Can AI generate this?”
and focusing more on:
“Can I use AI to communicate an idea clearly enough that people actually feel something?”
That shift matters.
Because for brands, creators, and artists, AI video isn't just about generating impressive visuals.
It’s about storytelling, attention, positioning, and turning an idea into content people remember.
This video is an early chapter.
I’m still learning, still experimenting, and getting better with every project.
For those already creating with AI: what took you the longest to learn—prompting, consistency, motion, editing, or storytelling—and what finally helped it click for you?
#AIVideo #GoogleFlow #GenerativeAI #ContentStrategy #DigitalGrowth
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Kinetic Lyric Animation💯; High-Impact Metaphor vs. Aesthetic Consistency
This piece transforms the aggressive rhythm of Michael Jackson’s "They Don't Care About Us" into a literal David-versus-Goliath visual metaphor. Relying on stark color blocking and giant, symbolic antagonists (fists, gavels, boots), the edit effectively translates audio beats into fast-paced visual hooks.
Here is the ruthless breakdown if you are using this to pitch music video production on a freelance marketplace:
The Win (Pacing & Metaphor): The rapid-fire, literal interpretation of the lyrics drives immediate engagement. The comic-book 2D styling is cohesive, and the stark red background ensures the subject pops on small screens. It demonstrates a strong grasp of short-form retention tactics.
The Flaw (The Style Break): The transition at 0:08 completely breaks the piece. You abandon a highly effective, stylized 2D aesthetic for heavily shaded, disparate AI-generated portraits. It looks like two entirely different projects stitched together, instantly signaling to a client an inability to maintain visual consistency across a timeline.
The Fix: Pick a lane. To make this portfolio-ready and command higher gig pricing, unify the visual language. Either run an edge-detection or cel-shading filter over the final portraits to pull them back into the comic style, or replace them entirely. Consistency is what separates amateur prompt generation from professional video editing.
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AI can generate the visuals, but strategy is what makes them worth watching.
This is an AI-generated conceptual clip (noted by the Veo watermark) relying heavily on the classic "holographic tech worker" trope. If you are using this to showcase digital content creation or AI video capabilities in a professional portfolio, here is a concise stress test of the work:
The Metaphor is Cliché: Floating "UI/UX" tags, gears, and lightbulbs are generic visual noise. It demonstrates basic prompt execution, not a unique creative vision or strategic design thinking.
Zero Narrative Intent: The sudden appearance of the holographic rings around the headset serves no clear purpose. A strong portfolio piece must communicate a specific message, not just look futuristic.
Marketplace Reality: Raw, unedited AI generations are rapidly becoming commodities. To stand out in a competitive digital services market, you cannot simply show the raw output; you must demonstrate how it solves a client's problem.
The Pivot: Never present this as a standalone masterwork. Frame it specifically—for example, as targeted B2B tech b-roll or conceptual scaffolding for a gig listing. You must sell the strategic application of the visual, not just the generation of it.
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A creative presentation of generative advertising visuals for the ZAZ 968 retro convertible. This project blends refined automotive aesthetics with AI-driven design technology, creating a series of conceptual images and animated sequences that highlight the charm and style of this classic convertible. Each visual element explores form, color, and texture in a way that evokes both nostalgia and a sense of modern design.
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