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LEGO — “The Last Thing We Lose”
🚀 Why I Chose LEGO: LEGO is not just a toy brand — it’s a philosophy of imagination. In a world that constantly pushes us to “grow up,” LEGO stands for the one thing we quietly leave behind first: play, Play is curiosity. Play is creativity. Play is problem-solving. And once we lose it, we don’t just lose childhood — we lose a part of how we think.
🚀 Narrative Direction: The narrative unfolds quietly and deliberately, It begins with absence — silence, darkness, restraint. It reflects on growth, responsibility, and the subtle erosion of imagination. The voiceover doesn’t sell a product — it delivers a realization.
🚀 The core idea: "We don’t stop playing because we grow up,
We grow up because we stop playing "
🚀 Not your age. Not your time.
The last thing we lose is play.
Check it out on X :https://x.com/DhananjayG21AI/status/2019039400240513078?s=20
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Going from an initial client briefing to an approved wireframe usually takes 3 to 7 days of manual note-taking, layout debates, and generic copy.
In this video, I walk through my exact 3-phase workflow to cut that timeline down to a single afternoon using raw call transcripts and custom AI agent
Descript MCP Workflow
Instead of scrubbing through the timeline manually, I used the Descript MCP with an AI agent to instantly generate accurate YouTube timestamps, description and video titles directly from the project context — killing post-production busywork in seconds.
YouTube Video Link: https://youtu.be/lI3sCyUabHQ
Descript Video: https://share.descript.com/view/7AlW3niOPfx
Descript MCP Session Workflow: https://www.loom.com/share/848564eb31074c43b8f0d2068460e1be (I used Google Antigravity, which doesn't have a shared chat option)
the blue prototype card looks cool
This was one of the most fun AI projects I’ve worked on lately.
For Tecnofas, we created a full clay-style animation, literally building the visual language around that handcrafted, stop-motion look, but produced with AI.
The video above is a compilation of some of the scenes we developed for the project.
The creative challenge was to explain a very technical difference in a way that felt simple and visual: comparing a traditional retrofit construction process with a ventilated façade system, which can reduce the number of workers needed on site by up to 60%.
Tecnofas is the kind of client that really enjoys experimenting with new visual languages, so we had a lot of freedom to explore the concept, test ideas and push the AI workflow beyond a standard corporate animation.
That freedom made the process especially enjoyable. Instead of using AI only to make production faster, we used it to create a visual style that would probably never have been the obvious choice for this kind of industrial communication.
This project started with a very specific idea for how a static product visual should move.
The base artwork was created with ChatGPT and Nano Banana, but before generating the final animation, I spent time refining the prompt and defining the exact movement, camera behavior and energy we wanted.
I tested the direction with different models, including Kling 2.5, using those iterations to improve the prompt before producing the final sequence with Seedance 2.5.
The result was extremely close to what we had planned, including the animation and even the sound effect that completed the motion.
For me, this is where AI production gets interesting: the real work is not simply generating. It is art direction, prompt design, testing and refinement until the model delivers the intended result.
This is a great example of how much creative thinking goes into AI production. The tools may generate the visuals, but the real difference comes from having a clear vision, refining the prompts, testing different models, and knowing exactly what you want the final motion to communicate. Great execution!