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Prisma AI — Content Repurposing Dashboard
A data-driven dashboard that prevents churn through behavioral design.
The Problem:
Users were abandoning because they couldn't find their content, didn't trust AI quality, and missed key features like scheduling.
The Solution:
Pipeline cards show content workflow at a glance
Voice Match Score (8.2/10) proves AI quality
Performance Insights surface power features automatically
"Continue Where You Left Off" prevents lost work
Impact:
Designed to reduce first-session drop-off by 42%, eliminate 28% of support tickets, and cut time-to-value from 18 min to under 5.
Every element solves a real user problem.
Dark mode. Built in Figma.
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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We partnered with SymphonIQ to shape their brand, sharpen the positioning, and design a digital experience that reflects the structure, trust, and control required in enterprise AI infrastructure.
See it live → symphoniq.ai
Really strong visual language. The balance between structure and atmosphere is especially well handled.
Can you believe I made this in seconds in Figma Make? 👀
Okay… not the final design. But the concept? Yes.
I’m currently building a digital product, and this is how I explore ideas before committing to the actual design.
♥️ 𝐖𝐡𝐚𝐭 𝐅𝐢𝐠𝐦𝐚 𝐌𝐚𝐤𝐞 𝐈𝐬 𝐁𝐞𝐬𝐭 𝐅𝐨𝐫
1️⃣ Early-stage concept testing
2️⃣ Generating multiple directions quickly
♥️ 𝐖𝐡𝐞𝐫𝐞 𝐈𝐭 𝐒𝐚𝐯𝐞𝐬 𝐓𝐢𝐦𝐞
1️⃣ Creating fast variations before committing
2️⃣ Speeding up directions exploration
𝑯𝒆𝒓𝒆’𝒔 𝒎𝒚 𝒕𝒂𝒌𝒆 👇
🟡 Figma Make isn’t replacing design thinking. It’s helping me move faster in the messy early stage.
🟡 Instead of starting from a blank canvas, I can test structure, layout, and direction quickly — then refine everything intentionally inside Figma.
🟡 Exploration first. Design decisions second. ✨
Would you try this workflow?
Are you still managing tools… or building systems?
I’ve been consolidating my early-stage process inside @FLORA - exploration, concepting, prompt development, and visual creation all in one place.
Flora isn’t just an image generator - it’s an intelligent, node-based canvas where I can connect AI text generation (via ChatGPT) directly to image and video models inside the same workspace. No jumping between tabs.
What that looks like in practice:
• Explore text, image, and video models in one place
• Connect a text node directly to image/video nodes to generate + iterate instantly
• Refine prompts, edit visuals, swap elements, build scenes layer by layer.
The shift?
Centralizing AI doesn’t just save time - it protects creative momentum.
Check out my Ai workflow below:
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