Excited to be here with you all. I’m the founder of Elegant Luxe Com, an 8-figure eCom brand, and I have recently been diving deep into AI-driven automation to optimize the back end of my business. I have used AI to streamline everything from customer support and fulfillment to ad creative workflows and daily ops. But I know we’re only scratching the surface of what’s possible with AI agents and smarter systems. I joined this community to learn, share, and collaborate with others who are serious about building lean, intelligent operations with AI at the core. If you’re using AI in creative ways, especially for eCom or systems, I would love to connect. Let’s build smarter. Looking forward to learning from you all

(this can save you time) I just discovered a gotcha with Supabase’s VectorStore: no matter which table you pick in the UI, it always hits the “Documents” table you created via the Supabase Docs SQL snippet. My client has two separate business types, but I use the same Supabase project for both. So the newly created chatbot was querying the wrong database. Turns out Supabase VectorStore defaults to “Documents” every time—which is fine if you only have one table, but a recipe for confusion when you spin up a second bot inside the same project. The fix is simple: open your VectorStore settings, click the query name, and change the table reference from “Documents” to your actual table. It exists by default. Do that once and you’ll avoid pulling answers from yesterday’s bot. Hope this saves you the same headache. P.S.: To create a table with a different you'll need to alter the SQL query a bit.

Is Your Agency a Sniper or a Shotgun? Most agency owners try to be everything to everyone. But real growth comes from precision, not volume. To build a high-converting offer, you need a niche that’s based on proof, not guesswork. Start by auditing your strengths. What does your team actually do well? Be specific, “Facebook Ads” isn’t enough. Maybe you’ve helped a local real estate firm add €50K/month, or you’ve doubled lead quality for a SaaS. That’s the gold. Write down 2-3 of those wins. Now, ask: who actually wants this? Use Google Trends or LinkedIn polls to check demand. If no one’s searching for this help, it’s not a niche, it’s a dead end. But even if demand is strong, is there room to stand out? Google “[industry] + marketing agency” and analyze the top 10. What’s missing? Maybe no one’s offering Instagram lead gen for mortgage brokers. That gap? That’s your opportunity. Your UVP should now write itself. “We help [exact client] get [measurable result] in [timeframe], so they can [emotional payoff].”For example: “We help boutique real estate agencies double qualified leads in 90 days using Instagram Ads, so they can close more deals without cold calling.” To validate it, run a quick campaign. Message 20–30 ideal prospects. If you don’t get ~20% replies, something’s off. Fix the offer before you scale. And before launching anything big, ask yourself these questions: - Do I deeply understand who this is for? - Am I solving a specific and painful problem? - Is my solution clearly outlined, priced, and deliverable? - Do I stand out from the competition in at least one meaningful way? - Can I reduce risk with a guarantee, pilot, or pay-for-results? Offers built on clarity, proof, and positioning don’t just “sound better” they convert faster, scale easier, and attract better clients. Hope that helps you get more clarity and build something that actually cuts through the noise.

⚙️ From Inbox to Asana — Fully Automated Task Creation Tired of missing important emails just because no one turned them into actionable tasks? Here’s a solution I built for fast-moving teams 👇 Whenever a relevant email hits your Gmail inbox, this automation: ✅ Reads the email (subject + body) ✅ Extracts key details ✅ Instantly creates a fully structured task in Asana, including: 1. Task title 2. Description 3. Due date 4. Assignee 5. Subtasks 🧩 Tools Involved: Gmail – Trigger (new email received) n8n / Zapier / Make.com – Workflow automation Asana API – Task creation engine 🔁 How It Works (Step-by-Step): 1️⃣ Trigger: New email arrives in a specific Gmail label (e.g., “To-Asana”) 2️⃣ Filter: Checks sender, subject, or keywords to qualify the email 3️⃣ Parse Email: Extracts subject → Task title Email body → Task description Lists or bullets → Subtasks Dates → Due date Mentions → Assignee mapping 4️⃣ Format Data: Organizes the info to match Asana’s task schema json { "name": "Follow up on client proposal", "notes": "Client requested a revision on the Q3 budget...", "assignee": "[email protected]", "due_on": "2025-07-30", "projects": ["1234567890"], "subtasks": [ { "name": "Revise budget" }, { "name": "Send updated version" } ] } 5️⃣ Create Task in Asana: Pushes the structured data directly into the assigned project 6️⃣ (Optional): Sends a Slack or email confirmation once the task is created 🧠 Bonus Smart Features: AI-powered parsing for long emails (OpenAI integration) Auto-tagging based on urgency or content Multiple assignees based on context File/attachment inclusion from the original email 🚀 Real-World Use Cases: Client services: Convert client emails into trackable tasks Sales: Never miss a lead follow-up Project managers: Reduce manual admin and increase clarity

first it was text sites. then html. then mobile apps. all trying to get to people faster, make it easier to engage, easier to buy, easier to use a product or service. but here’s the thing. you could never scale people. you couldn’t hire a sales rep for every visitor. you couldn’t have 1 support person per customer. you couldn’t spin up marketers, coders, product people for each tiny problem. until now. AI/automation makes that possible you can literally have a million agents running 24/7.sales agents bringing in leads and closing them. support agents helping customers and learning from every conversation. marketing agents testing copy, spinning up campaigns, optimizing constantly.coding agents fixing bugs, writing features, deploying updates without you lifting a finger. chatgpt is close, but not built for your business.if you wait, these big models will just try to own your customer relationships. so build your own agents. train them on your offer. your process. your product.start small. set up a sales agent to start talking to leads.set up a support + product agent to talk to customers, fix issues, and improve your service.spin up a marketing agent to test landing pages or create content. build or use a coding agent that watches your product and works with your sales and support agent and makes it better. you got this!