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I will build AI chatbot with Shopify + n8n automation (RAG system)
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some late work i've been doing with felt👇
quick thought i can't shake: most ai interactions make you translate. you feel something, turn it into words, the ai answers in words, you turn that back into feeling. two translations for something that was never meant to be spoken in the first place.
so with felt i'm trying something different: an interface that just reads what you're feeling and talks back the same way, through touch. no typing, no talking, no middleman.
still early, still prototyping, having way too much fun building this one🤘
Nice work
Redesigned & Developed a Shopify store from the ground up and the numbers speak for themselves
✅ Conversion rate up 38%
✅ Revenue up 45%
✅ Mobile load time cut in half (4.8s → 2.4s)
✅ Bounce rate down 29%
✅ Add-to-cart rate up 31%
Swipe through the case study to see how a faster, cleaner, conversion-focused design turned @CoHo Retail's Shopify store into an actual sales engine not just a pretty catalog.
If your store is slow, cluttered, or just not converting the way it should, let's fix that. I design and build Shopify stores that are built to sell.
love your design thinking
Zooly is the brand mascot and the AI chat assistant for a pet boarding SaaS. He is built entirely in Rive and runs live in production at zooly.pet.
He is a working assistant with real tooling. He pulls live booking data, raises support tickets, and searches the knowledge base to answer questions. Helpful, useful, and fun.
He also reacts to what happens in the app. Confirm a booking and he fist pumps, open the chat and he waves, go idle and he drifts from bored to sleepy, and he cracks animal jokes and laughs at them. His eyes follow your cursor, and 160+ contextual lines keep him from repeating himself.
How it is built:
One ZoolyStates state machine. A mood input drives 8 fully rigged poses (idle, talking, roar, happy, excited, curious, bored, sleepy) at 60fps.
A second Expression overlay layer composites gestures (wave, fist pump, curious tilt, laugh) over the current mood, driven by a Rive View Model.
2D eye tracking binds lookX and lookY to the cursor position.
The rig is built for a whole cast. Every character shares the same numeric contract, so each app domain gets its own mascot with a personality suited to it. A falcon runs security, a penguin runs care, a quokka runs bookings. They render Zooly's rig as stand-ins until their artwork is commissioned.
That cast also cuts decision fatigue. Each character only raises what matters in its own domain, so who is talking to you tells you what kind of thing it is before you read a word.
Interactions: eyes follow the cursor, right click to roar, rub his belly for excited, drag him and his arms go up.
Amazing😻
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