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The project explores scale, proportion, and light consistency across a fully AI generated environment: keeping the object world photoreal while the figure reads convincingly tiny within it. Every image was generated using AI, part of an ongoing exploration into miniature and scale based visual storytelling.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Not refreshing. Traceable.
VESSEL treats still water like a controlled substance — lot number, draw date, aquifer depth, pH — every bottle accountable to a single source, not a marketing claim.
Strictly monochrome. One motif carries the wonder: divers and manta rays suspended in the glass, like the water remembers where it came from.
New case study
From 80% outbound to 80% inbound. From $1M to $5M+ in revenue.
I led the visual direction of an AI-powered QA brand from the ground up, transforming a complex product into a clear, credible and compelling brand experience.
Through strategic brand design, web design and digital storytelling, I helped turn the company’s website and identity into powerful growth channels.
The impact:
• Revenue grew from $1M to $5M+
• The lead mix shifted from 80% outbound to 80% inbound
• Brand and web became key drivers of trust, qualified leads and revenue
This case study explores how I built a cohesive visual identity and web experience that strengthened the company’s market position and helped convert attention into demand.
Great work!!
🚨 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
