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Meet Anomaly.
Not every character needs an explanation. Some just need a strong presence.
I wanted this piece to feel like an introduction to a character from a much larger world—bold, expressive, slightly unpredictable, and unmistakably its own.
From the silhouette and expression to the colors, details, and rendering, every choice was made to give Anomaly a distinct identity beyond the typical PFP.
This was an exercise in character design, visual storytelling, and worldbuilding through illustration.
What kind of story do you think Anomaly belongs to? 👀
Character Design · Digital Illustration · Web3 Art · Worldbuilding
Leading with silhouette and expression before color and rendering is what stops this from reading as another PFP drop — the character would still hold up as a shape even with the palette stripped away.
Yes! Thank you very much, Mark!
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I did the Art Direction for one, and AI did the other.
AI wanted to give 'Bold' a symbol while I wanted to give it a meaning!
Only one survives, and your vote pulls the string!
48 voted
75%
16 voted
25%
64 votes
Closed
I hope the one I 'Cant ignore' is the one you did because it has an intent and feel AI can never generate. Love it
*fingers crossed*
Just shared a selection of product explainer animations and storyboards. A look into my process of turning complex workflows into clear, engaging visual stories using Figma and Jitter.
Turning complex workflows into simple visuals is where animation really earns its place. The storyboard approach makes that process much clearer.
🚨 AI FEATURES DON’T CREATE RETENTION.
COMPOUNDING VALUE DOES.
Most AI note-taking apps compete on:
🎙 faster capture
📝 better summaries
🏷 smarter tagging
🔎 stronger search
Useful, yes.
But none of that guarantees users come back.
The bigger opportunity is when the product starts getting more valuable because the user has already used it before.
In this concept, AI doesn’t just process a note.
It notices:
→ which ideas keep returning
→ which topics appear across different contexts
→ which thoughts may deserve action
→ when an old note becomes relevant again
That changes the product from an archive into a system that learns from accumulated behavior.
And that creates a much stronger growth loop:
More input → more context → better resurfacing → higher perceived value → more input
That’s the kind of mechanic I’d test for retention.
📊 Product targets
• 30%+ faster capture flow
• 40%+ increase in resurfaced-note engagement
• 20%+ improvement in weekly return rate
• 2× higher note-to-action conversion
• 50% less manual organization
The interesting AI products won’t win because they generate more.
They’ll win because every interaction makes the next one more valuable.
👉 BOOK A MOBILE APP STRATEGY SESSION
https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone
What I like most here is the idea of AI becoming more valuable with time, not just more capable in the moment. If every new note improves how older thoughts are connected and resurfaced, the archive stops being storage and starts becoming product intelligence
