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Experiments in AI on a red background
Character card from my photos
Text prompt
Revitalizing Seedance 2.5
Cinematic
Nice work
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Have always wanted to work with one of car industry's giants.
Thank you for trusting me with 2027 model shots for marketing.
Tools used: @Higgsfield AI
Love the simplicity here, it gives the brand such a nice feel
From a 40-Minute Client Call to a Working Interactive Prototype in Hours (5x Faster with AI Agents)
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 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.
That line about the real work being art direction and refinement rather than generation is something I don't think most clients grasp yet, they still see 'AI made it' as the whole story. Did you end up walking the client through that process, or did they only care about the final result?