180 | I Built an Entire AI Team... And They Failed for One Unexpected Reason | Leadership, Delegation & Systems with AI Frameworks

What if the reason your AI isn't performing has nothing to do with the AI and everything to do with you?

You spent hours building AI agents, automations, and workflows. You followed the tutorials. You got excited about the possibilities. And then the results felt... underwhelming.

In this Thursday Founder’s Rant, Dawn shares a very real moment when her own AI Chief of Staff failed to deliver the magic she expected and the surprising reason why. The lesson isn't about prompts, tools, or technology. It's about something most founders completely overlook after the setup phase.

If you've ever felt disappointed by AI output, this episode may save you from chasing the wrong solution.

Want a place to test ideas, ask questions, compare notes, and learn alongside other founders who are actively building with AI?

Join the AI for Founders Community on LinkedIn.

You'll find business owners experimenting, learning, occasionally breaking things, and discovering what actually works without pretending to have all the answers.

Because none of us are figuring this out alone.

Key Takeaways

• Your AI Can Only Work With the Version of You It Knows
• Building the AI Is the Easy Part
• Your Knowledge Base Is the Real Asset
• The Same Leadership Rules Apply to Humans and AI
• Your team can only execute the version of the vision you've communicated.

Resources & Links

• AI for Founders Community (LinkedIn)

Related Episodes

• Episode 166: Stop Blaming AI for the Output You're Getting
• Episode 128: How Female Founders Use AI to Stop Being the Bottleneck
• Episode 146: The Delegation Mistake That's Keeping You Stuck Working 60 Hours a Week
• Episode 165: The System Your Business Needs to Stop the Bottleneck Before You Add Any Other System

Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Transcript

She’s That Founder
180 | I Built an Entire AI Team... And They Failed for One Unexpected Reason

I built my entire AI team, including my chief of staff, in a weekend, and then I tried to actually use Stay tuned.

Hey, hey, hey. Welcome to She's That Founder, Thursday Edition. These are the quick rants, kick in the pants, velvet boot moments that represent me standing in the future, pulling you toward an even stronger, better, more powerful version of yourself, with AI as your co-pilot.

I am here with an I ate my own medicine episode.

So I'm gonna tell you about Quinn. Quinn is my AI chief of staff. She's part of a whole team I built inside Claude. There's Quinn, who is the overseer of everything, and then she has a team of Claude calls skills, AI agents that each handle a specific part of my business.

There's one for research, one for content repurposing, one that helps me write my podcast episodes, one for managing client notes, one for proposals. I mean, so many. There's a little AI ecosystem over here, and I love them, and I built most of them out over a single weekend a few months back.

And I will tell you, it was one of the most fun weekends I've had in a long time. I was giddy, like genuinely giddy. I kept texting people, "Look at this. Look at what it just did. I have an entire team. Oh my God, this is amazing." And I don't know if you've been down this road yet. If you haven't, something to look forward to because that first AI high is real.

It's the same feeling I had when I used chat for the first time and had it help me put together an article that would've taken six hours, and I was able to do it in one. This is addictive stuff. So a few weeks ago, it was time to actually put Quinn to work on something real, not just in this test environment that I had built in.

I'm planning my content for the month. I gave her the rundown. " Here's what I'm selling, what I'm excited about, what I've been talking about with clients. Here's what feels alive right now. Here are some specific stories and examples. Go." And so Quinn went through her roster, my AI and pulled a couple of my podcast agents and started working, and the output was fine.

Like, not bad, not AI slop, but not great. Not the, " Oh my God, Quinn and this whole team get me," moment that I really was expecting and hoping for. And I sat with that for a minute because I know enough about AI to know that when it gives you mediocre output, the first question isn't, " What's wrong with AI?"

The first question is, "What did I give it to work with?" And so I went back and I looked at my knowledge base, which is the documents and databases that Quinn and the team are supposed to reference when they're doing their jobs, things like your company information, your brand voice, offer details, audience description.

And what I found was a snapshot of my business from several months ago. I mean, truth be told, when I was building out these agents, I was more interested in learning how to quickly build out the agents, and so I threw whatever information I had in there that was, seemingly most up to date. But what I found in getting back what I was getting back, the results of this work, was that some of my positioning had evolved.

My offer language had shifted, my target client description had been refined, and none of that was updated in those knowledge docs, right? And if we put this into employer-employee terms, I hadn't updated the people that I'd hired. I'd hired a team, and I handed them a handbook from six months ago, and then expected them to perform like they knew my business and how it worked today.

Now, if this had been a human assistant, like an actual human being, and I handed her an outdated employee handbook and outdated company information and said, " Go produce content for me for this month," and the content came back a little off, I really couldn't blame her. I'd update the handbook. Or unfortunately, I'd probably just have a conversation with her to make it better, and the handbook would be forgotten altogether, right?

So here's what I know about this, and I see in myself and in almost every founder at this growth stage. We build things, we set them up, we're excited, and then we move on to the next thing because there is always a next thing. And we forget that the things that we've built need to keep up with us.

They need attention because the business is not standing The business is always shifting. The positioning is always] evolving. The offers get better and sharper the more you sell them, and the team, human or AI, is still working from whatever version of you, whatever version of the business existed when you last updated the instructions.

And the gap between who you are now and what you've told your team to expect, that gap will show up in every output every single time. 

Here's the mindset shift. Building AI agents isn't the hard part. The internet can sell you a course on how to build your AI chief of staff in an afternoon. I would love to sell you a course on how to build an AI chief of staff in an afternoon, but there would be some because it's partially true, you can build infrastructure fast. 

You can build it in a weekend. But the ongoing work, the thing that nobody is talking about in these courses, is creating your strong foundation and keeping it current. And again, like, I don't like to talk about these things 'cause they're not that sexy and fun.

They're not the shiny new toy. They don't, I don't know, basically do a really cool magic trick that makes you think that anything is possible. But they need to be present for this stuff to work. So the agent isn't the thing here. Your knowledge base is the thing. My AI chief of staff, Quinn, is only as good as what I've told her about my business, and that means every time my business evolves,

Every time I refine an offer or update my positioning or get clearer on who I'm talking to, I have to update the docs, not as a chore, but as the actual work of having a team that performs, and That would be true human or digital. 

Here's what I want you to hear. If you've built some AI thing, and you've been a little disappointed with the results, it's probably not AI.

It's probably that your agent is working from an old version of you. 

So go update that handbook. Give your team who you are right now, and then see what they bring back. Here's what I want you to take away from today. Building that AI team is so fun. Keeping the knowledge base current is the real work, and the output you get will always reflect the information you've given. 

So if something feels off, look there first. And if you wanna be in a space where people are figuring this out in real time, where you can ask, "Wait, is this working for anyone else?" And actually get an answer, then come join the AI for Founders community on LinkedIn.

It's free. It's business owners who are building, iterating, occasionally breaking things, and learning together. Nobody is pretending to have it all figured out, including me. So search LinkedIn for AI for Founders or grab the link in the show notes.

Before you go, think about one AI tool or workflow that you've already built.

When did you last update the information it's working from? Not the tools, the instructions, the context, the here's who I am and what I'm doing right now. That's your homework. Tiny, doable, and it might just change what comes back. 

I'll see you on Tuesday, but until then, go update your handbooks. All right, Lovey, see you soon.