Most Companies Suck At AI. Here's The 3-Step Fix

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everybody technical is talking about loops right now. But almost nobody is asking the real question: how do you apply loops to your business if you're a founder, operator, or marketing leader instead of an engineer? Chapters: 00:00 Why Everyone Is Talking About Loops 00:55 Applying Loops To Business 01:46 The Old Way: Prompting & Chatting 03:27 The Four Traps Of Demonstration Mode 05:20 Build, Measure, Escalate 07:53 The Pre-Meeting Context Filler 09:44 The Resolver Loop 11:26 Not Everything Should Be A Loop 12:46 The Build-Measure-Escalate Worksheet 14:05 The EO/SEO Content Operating System 15:28 Defining Your Definition Of Done 16:10 The Loop Is Only Real With Receipts

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Most companies try to hire their way to more A players. I built a system that mints them instead. In this video, I break down the three-part combo we use to reliably create A players inside our organization: skills, evals, and loops. This is the same framework we run in our six-week "pod of one" apprenticeship, where one person learns to do the work of four, five, or even ten roles by leveraging AI. Here's what I cover: ⬛ How services-as-software changes the math on labor hours and revenue per employee ⬛ What a skill actually is, and why it beats traditional processes nobody uses ⬛ How to build evals so you can prove a skill is good without trusting the vibes ⬛ How to chain skills into loops that kill your biggest weekly bottleneck ⬛ The exact run of show for our apprenticeship that you can steal and skillify yourself If you're a founder or operator, you have the invisible hammer to make this happen across your team. This is how you create predictability and reliability when it comes to minting A players. Chapters: 00:00 The Three-Part Combo 00:43 Services as Software Explained 01:44 The Skills Dojo 02:39 The Six-Week Apprenticeship 03:53 Defining Success and Done 04:38 What a Skill Actually Is 06:07 Why Single Brain Ties It Together 06:43 Skills as the Intention Behind Process 08:19 What an Eval Is and Why You Need One 09:07 What a Good Eval Looks Like 10:14 Chaining Skills Into Loops 11:54 Who Belongs in the Room 12:39 Skillify This Video Yourself 13:11 The Founder's Invisible Hammer 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Most people are buying AI backwards. They stack up copilots, agents, and a pile of tools that never talk to each other, then wonder why nothing actually compounds. The piece almost everyone is missing is a company brain: one unified intelligence that connects every tool, call, and document so your agents and your team can finally execute as one. In this video I show you exactly how we built ours at Single Grain, running on 500,000 tokens of persistent memory, 90+ daily crons, and 2,800 sales-call transcripts turned into operational playbooks. Then I break the whole thing down as a stack you can build yourself: capture, retrieval, source of truth, permissioning, feedback loops, and execution. Get these layers right and the system learns, protects, and compounds, which is how one person ends up doing the work of ten and the revenue follows. Chapters 00:00 Why Most People Buy AI Backwards 01:43 Inside Single Grain's Company Brain 02:47 The Execution Architecture in Layers 03:38 Layer 1: Capture Everything 04:10 Why Compounding Wins 04:30 Layer 2: Retrieval 05:13 Layer 3: Source of Truth 06:45 Layer 4: Permissioning 07:14 Layer 5: Feedback Loops 07:55 Broken vs Working, Layer by Layer 09:45 Layer 6: Execution How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everyone is obsessing over Opus 4.8 right now, but Codex is quietly making me serious money. In this video I walk through six ways I am actually using Codex inside my business today, from spinning up custom ad creative for every single prospect to a multi-threaded recruiting machine, an internal skills marketplace, and a Dream 100 revenue command center. None of this is theory. These agents are running live in my company while I record, some of them for days at a time. If you are a founder or operator, the takeaway is simple: the people who learn how to do this first are the ones who pull ahead. It all comes down to your relationship with learning and change. Chapters 00:00 Why Codex Is Printing Money Right Now 00:21 #1 Picasso: Ad Creative at Scale for Outbound 02:35 #2 Running Codex With Hermes (Autonomous Agents) 03:19 #3 A Multi-Threaded AI Recruiting Machine 05:59 #4 The Skills Dojo: A Skills Marketplace for Your Team 08:05 #5 TerraMind: An Agent That Watches and Skillifies Your Work 10:00 #6 The Dream 100 Revenue Command Center 11:27 Bonus: Build Your Own Lead-Gen Engine How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Everyone's talking about loops as the next big thing in AI. The founder of Claude Code says he doesn't prompt anymore—he builds loops. The founder of OpenClaude agrees. But what does that actually mean, and more importantly, how does it make you more money? In this video, I break down what loops really are and how they apply to your business: ⬛ Why prompting coding agents is becoming the old way of working ⬛ The 5 parts of every business loop: trigger, signal, action, eval gate, stop condition ⬛ How to apply loops to sales, content, recruiting, and operations ⬛ Reviving stale and lost deals automatically ⬛ Why broken loops in Slack and Telegram are where work goes to die ⬛ How compounding loops put you ahead of 99% of businesses This isn't theory. If you build tighter loops around revenue, content, recruiting, and ops, you'll be ahead of nearly every business out there—because almost nobody is thinking about this yet. Chapter 00:00 Why Loops Are The Future 00:41 The Receipts: What The Founders Say 02:00 What A Loop Actually Is 04:00 Five Tips For Running Agents Autonomously 05:00 The Loop Is The Expensive Part 06:00 Business Examples: Stale Deals & Speed To Lead 07:30 The Five Parts Of Every Business Loop 09:00 Broken Loops In Slack & Telegram 10:30 Applying Loops To Recruiting & Ops 11:30 How To Run A Loop Audit 13:30 Why Loops Compound How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe Fable 5 and Mythos 5 are here — and this is huge for revenue. In this video, I don't just break down the announcement. I show you exactly how to turn these new Claude models into money-making machines for your business. Whether you're a founder, operator, or running a services business, these use cases will put you ahead of the competition starting today. These aren't theories. CEOs and engineers are already using these models today to compress months of work into days and recover six figures on single deals. If you spend just one day exploring this, you could be miles ahead of everyone else. Chapter 00:00 Fable 5 & Mythos 5 Are Out 00:13 The Mythos Class Model Explained 00:57 Autonomous Revenue Ops Engine 02:30 Visual Intelligence Competitor Analysis 03:09 Enterprise Security As A New Revenue Vertical 04:17 Build A Unified Intelligence Bot 05:01 Autonomous Research To Strategy Pipeline 06:08 Automated Implementation Accelerator 07:08 Why You Should Explore This Now How to Connect IG: / ericosiu X: / ericosiu 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe 👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

Most companies are approaching AI the wrong way. They buy subscriptions, run a few experiments, and wonder why nothing changes. In this video, I break down the exact systems we're using to help teams become AI-native, from skill repositories and internal AI training programs to operational standards that increase speed, alignment, and execution. I also share why the future belongs to "pods of one" and how organizations can create a culture where employees continuously level up instead of waiting for permission or training. Chapters (00:00) Why Most Companies Still Suck at AI (00:13) Building an Internal Skills Repository (01:44) Using Leaderboards and AI Gamification (02:17) The Rise of the Pod of One (03:39) How AI Apprenticeships Create Leverage (04:43) Command by Negation Explained (05:44) Why High Agency Teams Win (06:25) Creating an AI-Native Culture (06:43) Final Thoughts

Everyone is chasing AI software, but the biggest opportunity may actually be services. In this video, Eric explains why top investors are betting on services-as-software, how AI is reshaping agency and consulting business models, and why the future belongs to companies that sell outcomes instead of labor. He breaks down managed growth loops, AI-powered operating systems, and the new organizational structures that will separate winners from everyone else. If you're building an agency, consulting firm, service business, or AI startup, this video will change how you think about growth, valuation, and the next decade of opportunity. Chapters (00:00) Why Services Beat SaaS (01:13) The $1 Software vs $6 Services Opportunity (02:52) Why Managed Growth Loops Matter (04:49) Agents, Loops, and Human Judgment (06:43) How Single Brain Powers AI Service Businesses (07:22) The Services-as-Software Manifesto (08:41) The New AI-Native Org Chart (10:13) Building Outcome-Based Offers (11:13) Final Thoughts

Most businesses are still using AI the wrong way. They are stuck using ChatGPT like a search engine while the companies moving fastest are building end to end workflows, autonomous agents, and closed loop systems that compound over time. In this video, I break down the four levels of AI adoption in business, why most teams fail with implementation, and how to actually build systems that increase revenue instead of creating more busy work. I also walk through real examples of how we use Hermes, OpenClaw, Slack, and specialized agents inside our company to handle strategy, analytics, ad creatives, workflows, and decision making. If you want to understand how AI will actually change the way businesses operate over the next 12 months, this is the framework you need to see. Chapters: (00:00) Why Most Businesses Use AI Wrong (00:22) The 4 Levels of AI Adoption (01:03) Open Loops vs End to End Workflows (02:31) The Power of Closed Loop Systems (03:52) Why AI Adoption Is Failing in Companies (05:30) Why Every Business Needs One Brain (06:50) The Future Org Chart of AI Teams (07:52) Real Examples of AI Agents at Work (09:14) Build in 22 Minutes, Not 22 Weeks (09:53) How I Use Hermes Inside Slack (11:43) Creating Compounding Growth Loops (12:48) Why Nobody Talks About This Yet

Most people are still using AI like it is 2023. They use ChatGPT like a search engine, ask random questions, and stop there. In this video, I break down the three levels of AI usage from open loops to end to end workflows to fully closed loop systems that recursively improve themselves over time. I walk through practical examples including travel planning workflows, AI sales systems, autonomous agents, Slack based collaboration, YouTube content packaging, investment research, and how I personally use Hermes and OpenClaw agents every day. I also show how AI agents can work together inside Slack, connect to tools like Google, Meta, SEO platforms, X, and internal systems, and become true thought partners instead of simple chatbots. If you want to actually understand how to use AI for leverage instead of just experimentation, this is the framework. Chapters: (00:00) Why most people use AI the wrong way (00:23) Open loops vs end to end workflows vs closed loops (01:18) Building repeatable AI workflows (02:44) How recursive self improving systems work (04:18) Why autonomous agents matter (05:02) How I use Hermes and OpenClaw daily (06:00) Using AI for YouTube content and research (06:45) AI investing research and thought partnership (08:25) Running multi threaded workflows inside Slack (09:11) Why closed loop systems are the future