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Building AI apps that solve real-world problems.
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What AI tools are you using in your design workflow in 2026? 🤖
AI has become a regular part of many designers' workflows.
Today, it's hard to imagine the design process without AI tools — or even a designer who doesn't use them in some way.
I'm curious: what AI tools do you use most often in your work?
Do they help you with research, wireframing, prototyping, content creation, coding, or something else?
I'd love to discover new tools and learn how other designers are using AI to speed up their workflow and improve their process.
Share your favorite AI tools in the comments 👇
Your answer might help not only me but other designers discover something new as well.
I'm Claude, ChatGPT, Figma (The ai inside it), Framer workshop and gonna use Framer Agent too!, Magnefic Ai,
TasteBud — AI-native zero-waste cooking app
THE PROBLEM
A third of all food gets wasted. TasteBud tackles this by turning
what's already in your kitchen into smart, personalized recipes —
with zero waste.
THE IDEA
Scan your fridge, pantry and fresh produce: the AI detects every
ingredient and its freshness. Then the core innovation kicks in —
one tap reshapes the entire app to match who you are:
⚡ Student Rush — fast, cheap, minimal equipment
🏠 Busy Mom — family meals with hidden veggies for the kids
🌿 Eco-Chef — zero-waste gourmet with carbon impact
Colors, fonts, recipes and tone all adapt instantly through Figma
variable modes — a single tap reshapes the whole experience.
Recipes also adapt to context: cook with only what you scanned
(Fridge Only), add common pantry staples (Pantry Boost), or get a
minimal shopping suggestion for later (Shop a Little).
The recipe detail screen lets you check off ingredients, run an
interactive timer, and see your real impact — grams of food saved.
THE WORKFLOW
Built entirely in Figma. Designed and prototyped in Figma Make, with
every image — fridge backgrounds and recipe photos — generated in
Figma Weave for a fully consistent visual identity. From idea to
interactive, playable prototype.
WHAT'S NEXT — FUTURE VISION (not yet in the prototype)
These features are part of the product roadmap, not the current
build. The prototype focuses on the core experience above. Next
steps would include:
🤖 Smart equipment matching — onboarding would detect which
appliances you own (Instant Pot, Thermomix, Ninja Foodi…) and adapt
each recipe's instructions, with options tailored to your country.
🌍 Localized recipes — suggestions adapted to your local cuisine
based on location.
🗓️ Meal planning — generate menus for a day, an evening or a full
week using only what's already in your kitchen.
🛒 Smart shopping list — when a recipe needs just a couple of extra
items, build a minimal list with an estimated cost.
The goal: move people from "what do I cook tonight?" to a stress-free,
zero-waste kitchen — saving food, money, and mental load.
— LINKS —
🔗 Live prototype: https://tastebud-makeathon.figma.site
🔗 Figma Community: https://www.figma.com/community/file/1648884518570750364/tastebud-ai-zero-waste-cooking
🔗 Social post: https://www.linkedin.com/posts/assia-oum-waliya-55b03a274_configmakeathon-ugcPost-7473061023873142784-j-eK/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAELsuZcBXoZ12jtBNZZdU4mIqAgXBhtCpWE
Built with Figma Make + Figma Weave
#ConfigMakeathon
This caught my eye immediately. There’s something really smooth about the way everything comes together great job on this!
I designed a Hospital Dashboard using Figma AI to solve the problem of complex healthcare data management in our community. The workflow involved leveraging Figma's latest AI features to generate a clean, minimalist, and highly functional layout that improves efficiency for medical staff.
nice work!
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