Agency 6B is the growth partner for founder-led businesses that treats AI as an assistant, not a strategist. An AI assistant for ads is great if you already know the technical aspects of ads.
AI hallucinates. We all know this. It doubles back, doesn't always understand what you're asking for, and sometimes it creates a workflow or process you never asked for.
It overcomplicates things and makes bad calls just as often as it makes a great strategy.
How do you know if the strategy it's suggesting is right for your business? You don't. That's why you need an expert.
I've spent 20 years embedded in some of the biggest companies and brands in the world. I was part of the team that launched Masterclass; the first-ever post on their Instagram came from my personal iPhone. I built websites for Emmy-award winning TV shows, designing architecture before I even understood what that meant.
I am largely self-taught. My undergrad degree taught me to be curious and to nurture sources and contacts. It also taught me to respond to change with a solution-oriented approach.
Engineering, systems architecture, revenue modeling and omni-channel marketing plans based on data? That I taught myself.
I've got a voracious appetite for learning. In high school, I amassed 30 college credits between my junior and senior years. In middle school, I read novels tucked inside my textbooks because my brain was moving too fast to sit still. To this day, even as a single mom and solo founder, I still read 3 books at a time.
Why does this matter to you? Because when you're picking the right partner for your growth, you need someone who gets that this industry never stops changing.
What most folks, and most AI tools, miss is that these shifts build on everything that came before them.
Here's an example.
In a Diagnostic I ran for a client in June, I found a 53% abandoned cart rate. Their traffic was climbing month over month, but sessions in the cart were dropping. Add-to-carts were up. They couldn't get customers to the close.
This trend shows up across industries. It's bigger than e-commerce.
Take a client I worked with back in 2018: a physical gym with a retention problem. They ran a few huge sales a year that customers waited for. We changed up one sale and boom: $50K in cash from one email. Not a campaign. One email.
And of those sales? Over 40% stayed on for a membership.
AI wouldn't catch a pattern like that on its own. Ask it for a strategy without telling it how far back to look or what you've already tried, and it'll hand you something generic: a strategy trained on what I and other experts have already executed over the last two decades.
AI is designed to assess patterns and make calls. It can be trained to execute tasks with or without human input. It doesn't, yet, possess the judgment a human brings to the table.
The newest models have better design taste but still miss the mark on simple things, the kind of misses that can cost you thousands of dollars in lost sales and, worse, lost reputation.
Losing a reputation is harder to quantify, until you see the costs keep rising while revenue stays flat, or worse, dips below numbers you'd already conquered.
Growth isn't linear. AI can build impressive charts, graphs, visualizations and dashboards, but it can't feel how pressure lands on a team. It can't understand what a leader carries when they miss their numbers, and it often can't explain to investors why the numbers aren't showing up as planned.
In April of this year, I reconfigured how I work with clients. I've run a variety of models over the years, and I've always offered embedded executive support (also known as consulting support, advisory support or fractional support) alongside execution-based support. I'm an operator who builds in the terminal. I don't believe in farming out solutions to tools, tech or temporary staff that doesn't see the vision.
To test that belief, I had AI models dig through my archives to find patterns I knew existed, and I ran the test two ways. One model got guidance. The other was just pointed at a folder.
The one that got guidance is building a knowledge base I can actually use. The other is burning tokens on subagents with no direction and no purpose.
I built this into my own work in June. I ran a full ChatGPT ads campaign for nomorediscounts.com, my own funnel into The Diagnostic, and priced a 30-day test flight, the ChatGPT Ad Pilot, for founders who want to show up as the answer when their buyers ask ChatGPT what to buy. Both meant verifying how the platform actually works, because there's no ten-year-old playbook to lean on yet.
AI advertising (on the AI platforms themselves, and with AI making the media buys, building the audiences and generating the creative) is moving out of the pilot phase. It's time to get your business ready for what's next.
Here's what a handful of Diagnostics found this past month, across businesses that look nothing alike. One had zero conversion events reaching analytics, so its only sale never showed up anywhere. A second had a broken order webhook that quietly killed four months of purchase data, and every automation that depended on it. A third had a 68% email open rate and exactly one automation running, while 116 people abandoned a cart in a single month and never heard back. A fourth was already getting real visitors from ChatGPT, Perplexity and Gemini, converting at 0%, because nothing on the site was built to catch them.
You and your investors might be ready to “go all in on AI.” Your business data might not be. Your systems almost certainly aren't, and that's where most adoptions fail. If your systems aren't designed for growth, no AI tool will get you the results you want.