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20 contributions to AI Automation Society
8 INSANE Claude Cowork Use Cases! (Endless Possibilities)
Claude’s new Cowork experience takes it beyond “chatting with an AI” and turns it into a true digital coworker—helping you execute real workflows instead of just generating text. In this video, I walk through 8 insane Claude Cowork use cases you can copy immediately, plus how to adapt each one to your own business, content, or operations.
0 likes • 4h
@Hicham Char Yeah and its just the beginning, I wonder how it will be after few months👀
1 like • 3h
@Frank van Bokhorst That is exactly the word for it—Massive! 🚀 Since you've been using it for over a week, what’s the most useful task/workflow you’ve automated so far? Curious to hear what you're building with it!
🚀 New Video: Design with AI & Hire Your First AI Employees (Gemini + Claude)
I just dropped a new build where we create a brand from scratch and then “hire” our first AI employees to run it. In the video, we: - Design a full brand identity from zero - Create social media creatives and a simple website - Then set up AI employees using Gemini (strategy, copy, visuals) and Claude Code (dev/ops workflows) to actually do the work The goal: move from “I do everything manually” to “I design the system, my AI employees run it.”
0 likes • 26d
@Hicham Char Thanks so much!. Totally agree!
🚀 New Build Video: Vibe Coding a CRM with Gemini 3 + Cursor (Beginner-Friendly)
I just published a full build where I vibe code an entire CRM app using: • Gemini 3 for one-shot UI and scaffolding • Cursor for AI-assisted coding • Supabase as the backend (auth, database, real data) A lot of you asked for a backend-focused tutorial, so in this video I go end-to-end: What’s inside: • Generating a gorgeous app UI in one prompt with Gemini 3 • Pushing the project to GitHub and wiring it up in Cursor • Setting up Supabase (login, authentication, tables, relationships) • Designing a clean landing page so it’s not just functional, but shippable
2 likes • Dec '25
@Hicham Char Love this question 🙌 Short answer: way less effort than it looks once you lock in a pattern. What I did in this build was basically: 1. Let Gemini 3 handle the “bones” of the UI • One-shot prompt → layout, components, basic state. • I treat that as a static front first: buttons, forms, lists, modals all wired visually, but with fake handlers. 2. Move to Cursor and turn UI events into real hooks • In Cursor, I go through the key interactions and do a simple pass: • onSubmit → call Supabase insert/update • onClick → fetch, filter or trigger a mutation • Cursor is great here because you can literally say: “Wire this handleCreateClient to insert into the clients table with fields X, Y, Z” and it will scaffold 80–90% of the code. 3. Drop in Supabase once, reuse everywhere • Add Supabase client + env vars once (SUPABASE_URL, ANON_KEY). • Create small helper functions in one file (e.g. db.ts) like createClient, getClients, updateClientStatus. • Then most of the effort is “connect UI event → call helper function” which is fast with AI help. In terms of real effort: • Getting the first UI from Gemini: 2–3 minutes • Wiring the main flows (auth + CRUD + a couple of views) in Cursor: 5 focused minutes • The rest is just small iterations and polish. Biggest win: you’re never rewriting the UI. You just layer real logic underneath what Gemini gave you, and let Cursor do most of the glue work.
10 AI Apps Making People Rich(How to build them)
I just dropped a new episode: “10 AI Apps Making People Rich in 2025.” We break down 10 lesser-known AI apps doing serious monthly revenue—why they work, who they serve, and how you can ethically model the playbook for your niche. I also cloned each app with AI (rapid prototypes) to show the full path from idea → MVP → monetization. What’s inside - Real examples: AI video generators, Bible note-takers, vinyl pricing tools, AI English tutors, and more - Winning patterns: high-intent inputs (photo/video/scan), single-feature MVP, simple pricing, clear outcomes - Discovery frameworks: niche selection, distribution channels, recurring revenue design - Bonus: my “rapid clone” demos + the prompt logic behind them
Agentic AI with ChatGPT + n8n + Nano Banana (Instance-Level MCP) 🚀
I just published a step-by-step guide showing how to turn ChatGPT into an agentic creative system using n8n’s new instance-level MCP. ChatGPT can now call your n8n workflows like tools and hand off visual work to Nano Banana—so one prompt becomes real actions and shippable assets.
1 like • Dec '25
@Hicham Char Thanks so muc! I did define JSON schemas, but they’re not insanely rigid — the reliability comes more from naming + descriptions + a bit of validation in n8n than from super–strict schemas.
2 likes • Dec '25
@Habeebat Ismaeel Thanks so much!
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Matt Ai
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@mert-durmazer-6782

Active 58m ago
Joined Nov 28, 2024
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