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Built an AI Agent Using Google Agent Designer; No Code Required
I explored Google Agent Designer, Google's no-code/low-code platform for building AI agents inside Gemini Enterprise.
Here's what I did:
1- Described my agent's goal in plain English
2- Connected it to Gmail and Google Drive
3- Built a multi-step automated workflow visually
4- Tested it live using the built-in preview
No programming. No complex setup. Just ideas turned into a working AI agent.
This project shows how modern AI tools are making automation accessible to everyone, not just engineers.
What I learned:
Google Agent Designer is surprisingly powerful for non-developers. If you can describe a task, you can automate it.
AI Agent DesignerGoogle AppsGoogle Cloud PlatformGoogle GeminiAI Agent DevelopmentLow-Code/No-Code Development
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The future of website building just got a serious upgrade. 🤯
Framer 3.0 is here, and the new AI Agents are wild.
I couldn't resist putting them to the test, so I gave Framer a single-line prompt... and this is what it built.
If you haven't explored Framer 3.0 yet, it's absolutely worth a look.
Watch everything new here in their announcement video:
https://youtu.be/j4WW4bwWhPk?si=rua_jIvFb8TGfmv8
I am equally excited
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.
Animated branding mockups
Hey this is super nice! What is your process like? Is Ai involved at all?
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