Leveling Up with Eric Siu

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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
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👉 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

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👉 Single Grain - Ad Agency focused on innovation https://www.singlegrain.com

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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

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👉 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