Hey everyone, After a few weeks of working with Claude Code + Antigravity, I noticed the docs are scattered everywhere — slash commands in one place, hook examples in another, MCP setup in a third tab. I kept losing context jumping between them. So I compiled everything into a single file. Ended up with a 15-chapter reference, available in both English and Turkish. What's inside: • Full slash command reference (60+ commands, categorized) • MCP server setup (stdio, http, sse — all transports) • Skills, subagents, hooks, plugins with real examples • Opus vs Sonnet vs Haiku — when to use which (decision table) • The 7 rules of token economy • MVP shipping playbook • Self-updating doc agent (via GitHub Actions) • Emergency cheat sheet for when you hit a wall Bonus: I extracted the hook configs and skill examples into runnable files under examples/ — copy them straight into your ~/.claude/skills/ folder. MIT license, free forever. PRs and issues welcome — I keep English and Turkish versions in sync. 🔗 https://github.com/siracalaks/claude-code-antigravity-a-z If it helps you, a ⭐ on the repo or a share is the only thanks I need.

I got tired of chasing freelancers for UGC.So I built a system instead. UGC works insanely well for e-commerce, but the production process is painful:brief → freelancer → revisions → waiting → high costs.The moment you want to scale, everything breaks. That’s why I built Sirac AI — a controlled UGC automation system. It works as a 7-step production pipeline: 1. Create & refine the model 2. Integrate the product 3. Generate AI product visuals 4. Generate product videos 5. Create UGC A-ROLL scenes 6. Create UGC B-ROLL scenes 7. Merge everything into one final UGC ad video Why this matters: - Unlimited UGC variations from the same product - Built for testing & scaling - Less dependency on freelancers - A repeatable system, not a messy process I also recorded an 8-minute video where I show the full workflow and the final output. Curious question for the community:What’s the hardest part of UGC production for you right now — cost, revisions, speed, or scaling?

From new client wins to digital twins and foundation-level breakthroughs - another week of real progress inside AIS+ Here are this week’s highlights inside AIS+ 👇 👉 Kevin Hardin built a job-sorting automation using Apify + n8n to instantly organize Upwork leads - a solid real-world workflow in action. 👉 @Elijah Williams restructured his entire agency model after completing the One-Person Agency course — turning insights into a roadmap. 👉 @Rakshith Gowda solved a Veo 3.1 API error after hours of debugging - a reminder that persistence pays off. 👉 @Simon Cousineau is now featured weekly on Canadian radio as their official AI expert - turning consistency into credibility. 👉 Malek Kilani built an AI-powered language coach in under an hour, shared the PRD, and inspired others to ship faster. 🎥 Super Win Spotlight of the Week: @Lutfiya Miller | From Toxicologist to AI Consultant Lutfiya went from learning AI workflows to landing two new clients at a scientific conference - proving what happens when confidence meets consistency. AIS+ helped her go from fear and uncertainty to building powerful automations and speaking at multiple events in 2025. 🎥 Watch her story 👇 Lutfiya’s journey is proof that when you replace fear with action, everything starts to click. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where learning turns into confidence and results 🚀

I built a full AI voice receptionist using VAPI on the front-end and n8n on the back-end, powered by an n8n MCP server that connects to seven n8n workflows. In this video, I walk through the entire system from scratch and show how the agent gathers info, manages the CRM, books and updates appointments, transfers calls, answers questions, logs every call, and keeps an appointment history. Everything is built with no code and designed to be easy to customize for your own use case. By the end, you’ll understand the full setup and have everything you need to launch your own AI receptionist. GOOGLE SHEET TEMPLATE

I just walked through everything new in n8n version 2.0. This update brings a refreshed UI, smoother animations, and a few behavior changes that make building automations feel more intuitive. In the video, I highlight the biggest improvements, show how they affect your workflows, and share what you should expect as you transition to the new version. If you want a quick overview of what’s changing and why it matters, this breakdown will get you up to speed.