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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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How are you actually using AI in your design workflow?
For me, AI sharpens the thinking before it speeds up the making. I use ChatGPT to turn my ultra detailed briefs into compelling brnd stories and identity descriptions. Great storytelling sells and not everyone is a natural copywriter. It replaces hours of copy refinement and elevates the narrative.
For visuals, I use Google Nano Banana Pro for most concepts, Seedream 4.5 for ultra-realistic 4K mockups, and Mystic 2.5 for surreal, illustrative explorations. They don’t replace creativity, they expand it.
Big insight: AI is only as good as your input. The better the prompt, the better the outcome.
How much time do you invest in crafting the perfect prompt?
Using AI to sharpen briefs before touching Figma is such a smart workflow. Probably 20-30 mins on prompts saves hours of revision later.
My current AI powered workflow as a designer and non native English speaker:
→ I use ChatGPT’s Memory as my operational brain. I fed it my pricing, deliverables and feedback rounds, so when I draft complex client emails, I’m not starting from zero. I edit everything, ✨always✨.
I’m fluent in English, but it helps me catch small grammar or spelling details for extra credibility.
→ When I find myself spending hours 🫠 searching for the perfect packaging mockup I turn to Adobe Firefly to create them. The Nano Banana integration is honestly amazing.
What’s actually working? AI removes admin noise and speeds up exploration although it’s terrible at taste. Strategy and design are still human work.
Which part of your workflow has AI genuinely improved, and which part would you never hand over?
Very thoughtful workflow approach. Curious — what aspect of your process improved the most after structuring memory this way?
Some time ago I built a transcription app using AI.
It worked, but became hard to maintain and extend.
So I rebuilt it from scratch, this time with a structured AI-assisted system:
- PRD → Architecture → API boundaries → UI slices
- Org-scoped ownership + proper separation of concerns
- Usage limits + monetization (subscriptions + credit packages)
- AssemblyAI integration with configurable features
The result: a fully working, monetized SaaS built with a repeatable process.
Try it: https://scribebit.com
And I documented the entire system: Full Breakdown
If you’re building AI-powered products and want to do it properly (not just vibe-code), I’d love to connect.
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