oof! finally able to share the final piece!! if you haven't been keeping up with my updates: ⭐ on...oof! finally able to share the final piece!! if you haven't been keeping up with my updates: ⭐ on...
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⭐ on day 1 I brainstormed alongside Gemini, merging my ideas with theirs and ending up with an outline of what I wanted to do for this challenge
⭐ day 2 I collected the raw footage I filmed and started putting together a folder with all my assets
⭐ day 3 I dove into Envato for the first time in years and found stock video, music and sfx, and used AI to alter both one of my own clips and a stock one
⭐ day 4 was for the final touches, where I recorded the voiceover and put all the other assets together into the video you can see below - my final submission!
(I also attached a screenshot of what my final project folder looked like - organized by source of each asset)
my biggest AI win was definitely the clip where I asked it to replace my water bottle with the coffee machine and it mimicked my rings and tattoos without me even asking
my AI flop, where I decided to intervene because AI just didn't do it justice, was the voiceover - it just felt off and emotionless, and instead of trying to tweak it to perfection I decided to just pick up the mic and do it myself!
I'm also gonna be sharing this final video on my Instagram @freelancingwithsilvia - feel free to follow me there for all the freelancing vibes 🤩
Love that you kept the raw file structure visible, the breakdown of stock vs shot-by-me vs AI is such a good transparency move for this challenge. How much time did the Gemini brainstorm actually save you on day 1?
"Absolutely, Boluwatife. High-fidelity visual assets are crucial for user engagement, but the real engineering bottleneck is translating those responsive designs into clean, production-grade code. Far too many MVPs lose their visual fidelity or performance during backend...
Knowing when to pull the plug on AI and just grab the mic yourself is the real skill here, the voiceover would have dragged the whole thing down otherwise. The coffee machine swap keeping your rings and tattoos intact is a pretty wild detail too.
The restrained motion is doing the storytelling herethe UI state changes keep the promo legible while the device framing gives it a tangible, product-like feel.
From a simple skincare concept to a complete AI UGC ad!!
I wanted to see how far I could take a simple skincare UGC concept using AI.
I started with the character, making sure her face, skin tone, body shape, hair and overall appearance stayed consistent throughout the video.
Then came the fun part building the story scene by scene.
From the opening skincare hook, to walking into the bathroom, cleansing, rinsing, moisturizing, applying eye serum, and finally showing the finished look, every scene had to connect naturally to the next.
Once the visuals were ready, I edited everything together in CapCut, worked on the pacing, added a conversational voiceover, and turned the individual AI generated scenes into one complete UGC style video.
A lot goes into making AI UGC feel believable. It’s not just generating pretty images, it’s the consistency, storytelling, editing and little details that bring the video together.
AI Character Creation | AI UGC | Scene Generation | Storytelling | Video Editing
SaaS Explainer Video — AI-Native Software Engineering.
A cinematic SaaS explainer created to communicate a simple business message: AI can build an app, but building software that works reliably for a real business takes much more.
The video combines an AI presenter, product interface visuals, technical environments, and cinematic storytelling to explain the difference between a quick AI prototype and production-ready software.
The goal was to make a technical SaaS product feel clear, modern, credible, and easy to understand while keeping the story engaging from beginning to end.
Tools & techniques: AI video generation, AI visuals, product visualization, cinematic storytelling, motion design