Yesterday, we challenged Linear Thinking. Today, let’s talk about the most expensive mistake teams make when integrating AI: Expecting magic from messy data. 🪄🗑️ We’ve all heard "Garbage In, Garbage Out." But in the AI era, too many people have fallen for the "Garbage In, Magic Out" myth. They think a "better prompt" can fix a broken process. Spoiler: It can’t. ❌ When we built our outbound and content workflows, the "secret sauce" wasn't a magic prompt. It was the Data Layer. Before the AI wrote a single word, we focused on three things: 🧹 Cleaning: Removing the noise from raw lead data. 📚 Contextualizing: Adding "tribal knowledge" about the brand that AI doesn't know. 🗺️ Mapping: Creating a clear path from a data point (like a LinkedIn post) to a specific output. The AI is simply the translator between your structured data and a human-readable format. If your AI outputs feel "generic" or "robotic," stop editing the prompt. Start looking at the spreadsheet you’re feeding it. 📈 The Linear Approach (Weak): "Write a personalized email to this person." The Lateral Approach (Elite): "Here is a table of 10 verified facts about this person's achievements + 5 core values of our company. Combine them into a synthesis of mutual interest." The results? Not even in the same league. 🏆 Look at your current AI workflows. On a scale of 1-10, how "clean" is the data you are feeding your tools? 1 = "I just copy-paste and hope for the best." 🤞 10 = "The AI gets a perfectly structured briefing every time." 💎 Drop your score below! If you're between 1-5, tell us what’s making your data "messy" and let’s fix it together! 🛠️👇 Let me hear your thoughts!

We recorded a raw walkthrough of what we’re building. Yesterday we shared a first walkthrough of Lateral Teams. Not a polished demo, not a launch video, just a real overview of the system as it is today. We built this because we were tired of doing marketing “one post at a time” and wanted a workflow that actually scales for teams and operators, not just solo creators. The app is still in whitelist mode. This phase is about testing, breaking things, and getting honest feedback from people who actually build and ship. If you watch the video, I’d genuinely love to know What’s clear? What feels unnecessary? What would make this more useful in real life? We’re not pushing anything yet. Just sharing the process and learning from it. Happy to answer questions or hear thoughts 💪🔋

Let’s set expectations from day one. This community exists for one reason only: to help people actually use AI to build, automate, and scale real work, not just talk about it. Lateral Teams is not a “prompt collection”. It’s not another theory-heavy AI space. And it’s definitely not about chasing hype. We’re building an AI-powered system that helps teams and creators automate content creation and execution in a way that’s sustainable, repeatable, and human. The app is dropping very soon, and this community is part of that build. Here’s how this space works: This is a build-in-public community. You’ll see what we’re building, what’s working, what’s breaking, and why certain decisions are made. This is also a two-way space. Your feedback matters. Your questions matter. What you struggle with matters. The product will evolve based on real usage, not assumptions. Inside this community you’ll find: – early access to the app – practical frameworks and workflows – real examples from live use cases – and conversations around automation, systems, and execution If you’re here just to consume, that’s okay. If you’re here to build, test, and improve how you work with AI, you’re in the right place. Quick ask to get things moving 👇 What’s the one thing you’d most like to automate or simplify in your work right now? Let’s build this properly.