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Is your product experience aligned with your growth goals?
Do you want to understand what's holding adoption back, how to fix it, and how to create experiences that drive engagement and growth?
As my career evolved from Designer to Product Experience & Adoption Strategist, I realized that many products don't struggle because they lack features—they struggle because users fail to realize value quickly enough.
See how I identified experience and adoption gaps in a Generative AI product using my PX Adoption Engine™ Framework.
👉 Read the case study: https://rishniperera.com/scaling-product-experiences-adoption-in-generative-ai/
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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working on Sonora product sections
making AI feel more tangible, approachable, and human
Good job with the design. one minor thing is how the information blocks are packed, adding a bit more negative space might beautifully convey that relaxed feel you are going for.
You launched your AI marketing startups, but users don’t understand what they actually do.
A list of features or AI buzzwords won’t explain the benefit. It will make visitors confused.
Scalora is built for this: a Framer template designed specifically for AI marketing automation startups.
It explains the problem modern marketing teams face by supporting startups that launch multiple marketing tools under one ecosystem.
• Clear product storytelling
• Conversion-focused layouts
• Strategic CTAs that move visitors from curious to signed up.
Built for founders who want their website to match the ambition of their product.
Scalora does that.
The 'match the ambition of their product' positioning is smart. Most Framer templates are generic landing pages, so one built specifically around conversion clarity for AI startups actually fills a real gap.
Title:
I built a design system generator inside Figma Make. Here's the workflow.
The problem I kept running into: every new client project meant re-explaining the brand to every AI tool from scratch. Figma Make didn't know the colors. Cursor didn't know the tokens. Claude didn't know the rules. I was the shared memory — and I kept losing things.
So I built Design System Gen. Entirely inside Figma Make. Powered by Claude API.
The workflow:
Upload brand references → Claude API analyzes them across 8 dimensions (palette, mood, typography, composition, lighting, texture, motion, UI DNA) → structured data, not vibes → generates 11 files, each formatted for a specific tool in your stack.
figma-make.md → paste once, Figma Make knows your entire design system
design-system.css → all tokens as CSS custom properties
tokens.json → W3C format, imports directly into Figma Variables
starter.tsx → React starter with tokens already bound
.cursorrules → Cursor knows your system from root
Claude.md → Claude reads it automatically every session
+ 5 more for docs, LLMs, prompts, components
Every tool gets its own context file. All consistent with each other.
The part I'm most proud of: I'm a designer. I don't write code. The entire tool — UI, API integration, file generation logic — was built and shipped inside Figma Make. No external hosting. No separate codebase.
Live at: vibecodingdsgen.figma.site
Add your Claude API key and try it with your own moodboard.
#FigmaMake #DesignSystem #VibeCoding #AI #Claude #UXUI #DesignSystems #ConfigMakeathon
As someone who constantly jumps between Figma, Claude, ChatGPT, Cursor, Lovable, and other AI tools, this problem feels very familiar 😅
The tools are getting smarter, but keeping context consistent is still surprisingly manual. Love seeing people tackle that gap.
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