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MapleGamma — Daily AI Briefing Pipeline
Personal project
Automated briefing pipeline at briefing.arshadkazi.ca that ingests content from multiple sources, processes it through an LLM workflow, and delivers a curated summary on a daily schedule. Demonstrates end-to-end cron + LLM agent pipeline.
Technologies: Python, LLM APIs, cron, RSS parsing, markdown rendering
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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.
New products need content.
But between an idea and a finished photoshoot, there are often weeks of preparation and significant budgets.
That's why I'm putting together a package that includes:
— 10 product photos
— 2 short videos
— 1 commercial-style video
So brands can get ready-to-use content for a product launch.
I'd love to hear your thoughts:🤩
How do you think a package like this could benefit a brand? What challenges or goals could it help solve?
I can see this being especially valuable for startups and early-stage products.
One of the biggest launch challenges is having enough quality content for different channels from day one. A package like this could help brands move faster and test messaging, creatives, and...
AgentOps Deal Desk
AgentOps Deal Desk is an AI-assisted dashboard that helps freelancers and service operators convert scattered opportunities into a ranked action pipeline. It scores each deal by fit, urgency, budget, readiness and risk, then turns that signal into a proposal angle, bid range and delivery checklist.
Category: Dashboard.
What it does: the app turns freelance and consulting opportunities into a deal pipeline. Each opportunity has a win score, readiness score, budget, deadline, category and status. Selecting a deal opens a structured view with the client pain, proposal angle, bid range, delivery checklist and risk flags.
How it builds on the Bubble AI baseline: I started with a Bubble AI-generated app foundation from a detailed product prompt covering the dashboard category, opportunity scoring, proposal angles, bid ranges, delivery checklists, risk flags and the core navigation. I then refined the product concept around decision speed: helping an operator know which deal to chase, how to position it and what proof is needed before sending a proposal.
Demo video and AI baseline proof are attached.
Great attention to detail. The result feels very refined.
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