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A Day in the Life of a Remote Worker
I created this short stickman animation to tell a simple, relatable story about what a typical remote workday can feel like from waking up and starting work to dealing with distractions, getting through the afternoon slump, finishing tasks, and finally switching off.
I focused on keeping the visuals simple while using small movements and facial expressions to make the character feel relatable and keep the story engaging.
This project was also an experiment in creating simple animated storytelling with AI, while keeping the visuals clean, consistent, and easy to follow.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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Apparently I'm top 5% on Contra now.
Ten years of making SaaS explainer videos and the animation is still the fastest part of the job. What eats the time is sitting with the product until I can say what it does in one sentence. A lot of the videos I get asked to fix skipped that bit, and you can tell.
Anyway. Nice to see the number go up. I've got space for a couple of projects this autumn if you're launching something.
Congratulations!!
Just published a new case study👀
This project was a good reminder that a product video is not just about making things move. It’s about finding the right way to explain something complex, keeping the visuals clear, and making sure every animation has a purpose.
For this one, I worked on an AI coaching platform, turning its features and workflow into a structured 90-second explainer.
⬇️⬇️⬇️
The motion design is top tier 🔥 , love how the product features was communicated and the use of glassmorphism🙌
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?
