Most sellers can't actually answer one question: "Am I making money on Amazon?" Your sales number ignores fees. Your bank deposit is a bundled biweekly lump that's pre-COGS. Both are lying to you. This new 7-module course (free, in the classroom now) fixes that. You'll learn to: - Trust your venue-level profit number and finally answer "am I profitable?" - Act on SKU-level profit: decide which products to keep, kill, or cuddle - See where Amazon hides the real numbers and how the Data Hub reconstructs them Every module ends with a "try this in your account" exercise you run in plain English through the Seller Labs MCP Server, so concept and proof land together. The 7 modules: 0. Why Amazon Profitability Is So Confusing 1. Enter Your COGS First (or Every Number Lies) 2. The Fee Maze: SKU-Level vs Account-Level 3. Where the Data Actually Lives (and the DD7 Delay) 4. SKU Profit: Keep, Kill, or Cuddle 5. Venue Profit: Are You Actually Making Money? 6. Putting It Together with the MCP Start with Module 0. It's a two-minute read and it'll change how you look at your numbers. Open it here: https://www.skool.com/sellerlabs/classroom/1b079dc6 Drop a question in General Q&A or MCP Help as you work through it.

We've been quietly building something our customers have been asking for, and I can't keep it to myself any longer. Rank Genius is on the way. 🚀 Here's the problem it solves. Your Seller Central and Data Hub see everything about your account, but nothing about the market around you. So you're making pricing, advertising, and launch decisions half-blind. Rank Genius fills in the other half. It sees the Amazon marketplace the way a shopper actually does, live, across 21 marketplaces. What that means for you as a seller: 🔎 Know who really owns your keywords — live organic and sponsored rankings for any term, with competitor prices, review counts, and monthly sales estimates. Spot the openings (a product ranking top 10 with only 60 reviews is a door someone left open). 📱 See the desktop vs. mobile blind spot — the same keyword can be a totally different page on mobile, with different rankings and far more ad slots. Most sellers only check one and badly misjudge where the traffic and ad competition really are. 🏆 Stop guessing on price — see who's winning the buy box live, whether they're Amazon (unbeatable) or a beatable third-party seller, and price into the gap. 🕵️ Know who your competitor really is — pull their storefront and find out if you're up against a real brand or a direct-from-factory seller, before you commit inventory. 💬 Mine competitor reviews to find the recurring complaints, then fix your listing to convert more of the same traffic. The real power is the combination. Pair Rank Genius with your Seller Labs Data Hub and you only act where both agree: priced above your true floor, bidding only where you're not already winning organically, launching only where the data says you can win. And we're not the only ones excited. A few sellers have already gotten early hands-on, and here's what they're telling us: "I think this is amazing. We were paying as a company for a keyword ranking tool... and we're finally getting to the point where you have this connection between your PPC efforts and your organic efforts. You made my weekend better." — Early access seller

I'm going to be honest about something I'm a little embarrassed by. I spent weeks — months, really — hand-tuning my Claude Code permissions. You know the pop-up. Every time Claude wants to do something real — run a command, hit an MCP, query my Data Hub — it stops and asks: "Can I run this? Yes / No?" It drove me nuts. So I went to war with it. Allow-lists. Deny rules. Patterns I tested, refined, broke, and fixed again. I was basically writing a rulebook to teach Claude what it was allowed to do without bugging me. And it kind of worked — I was proud of it. Then I was listening to Boris Cherny — the guy who actually built Claude Code at Anthropic — do an interview. And he described the exact problem I'd spent months solving. Except he had a much better answer than mine. THE PART THAT STOPPED ME Boris said the permission pop-up had a problem nobody expected: "Over time you get kind of lazy... at least for me, I just kept saying yes. I wasn't really reading the commands." That was ME. After enough prompts, you stop reading. You just hammer "yes." He said Anthropic's own security team flagged it — the human-in-the-loop was supposed to make things safer, but prompt fatigue turned everyone into a reflexive yes-clicker, which actually made it LESS safe. So they built a different answer. He called it auto mode: "Every permission prompt, we route to a model, and the model decides yes or no based on what you've said so far in that conversation." Instead of YOU rubber-stamping every action (or me writing a 200-line rulebook), a model checks each action against what you actually asked for and approves the routine stuff automatically. Then the two lines that got me: "This is what we use internally at Anthropic, and the vast majority of our users use it also." "Because you don't have to sit there saying yes or no, I can now run Claude for hours, or for days." That last one is the whole game. The pop-up wasn't just annoying — it was the leash. As long as you have to babysit yes/no, you can't ever walk away. Kill the babysitting, and you can set Claude loose on something big and actually go do something else.

Glad you're here. This is where Amazon sellers learn to go from typing into a chatbot to actually putting AI to work on their business: PPC, inventory, listings, and reports. Start here: 1. Introduce yourself. Drop a comment below: what you sell, and the one task you'd most love to hand off to AI. 2. Open the Classroom. Level 1 takes you from chatbot to agent with no coding required. Just follow the modules in order. 3. Ask anything. Questions go in General Q&A. MCP connection issues go in MCP Help. 4. Show your work. Built something useful? Post it in Show Your Work. That's how this community gets better for everyone. The core idea behind everything here: stop typing to AI, start giving AI access to your business. Let's get into it. - Nhan