AI Doesn't Make You Dumber. Your Lack of Self-Awareness Does (with Vanessa Chang)
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Let's be real for a second. You've got five Claude chats open, a Notion database you barely use, and a half-built dashboard you saw on Instagram. You're technically using AI. But you're still exhausted, still behind, and still not sure if any of it is actually moving your business forward.
Here's the question nobody is asking you: Do you actually know yourself well enough to use AI well?
That's the insight Vanessa Chang dropped on a recent episode of AI Queens, and it reframed everything. Vanessa is the co-founder of Bernie, a fraud detection app designed to protect seniors, and the writer behind Regarding Human, a newsletter exploring metacognition in the age of AI. She's also one of the most honest voices in a space full of people performing expertise.
AI Is a Blanket Over Dysfunction
Vanessa put it this way: "AI is essentially the blanket that we throw over dysfunction to give it shape."
What does that mean for your business? It means that if you have murky priorities, scattered systems, or no real clarity on how you think and work best, AI isn't going to fix that. It's going to make the mess look more organized while it quietly gets worse underneath.
Most of us have moved through our careers with what Vanessa calls "acceptable dysfunctions." We've adapted to broken systems, corporate structures, and education models that never asked us how we actually think. We just got used to functioning around the gaps. Now AI is here, and it's pulling all of that into the open.
The women showing up to AI with clarity, self-knowledge, and a real understanding of how they operate? They're the ones using it to build something meaningful. The ones who skip that step? They're building beautiful dashboards that solve problems they don't actually have.
The Dashboard Problem (And Why You Fell for It Too)
Erika shared something on the episode that most AI educators would never admit. She got completely sucked into building a Claude-powered dashboard she saw on Instagram. Spent hours on it. Knew better. Did it anyway.
Eventually she asked herself: what problem is this actually solving? The real issue was decision fatigue and information overload coming at her from Gmail, Slack, Fathom, iMessages, and her own brain. The solution wasn't a sleek dashboard. It was a simple Claude project with the right connectors and a morning briefing prompt.
Vanessa has a name for what Erika almost fell into: optimizing before orienting. Seeing something shiny in the AI space, immediately jumping to build it, and never stopping to ask whether it fits your actual direction.
The fix is a question Vanessa now asks herself every time she feels the pull: "So what?" What would happen if you didn't build this? If the answer is "nothing important," you have your answer.
Your 40% Threshold
Here's a productivity principle that hit differently in this conversation. Decision-makers, from military generals to executive coaches, put the sweet spot for taking action at around 40% information. You don't need full certainty. You need enough to move.
The problem is that AI, as a business product, is designed to keep you in the conversation. The dopamine is real. The engagement loop is real. And if you're wired toward overthinking (Vanessa and Erika both raised their hands on this one), AI will happily let you compound theory forever while your to-do list sits untouched.
Vanessa's framework: compound reality, not theory. The learning doesn't come from the conversation. It comes from doing the thing, making mistakes, and iterating. The chat is just setup.
Constraints Are Not the Enemy
There's a narrative going around that AI removes all limits. More output. More ideas. More capacity. Run agents in the background. Build custom tools for everything.
Vanessa pushes back on that hard. She makes a case for constraints as a feature, not a bug. Constraints are what force creativity. They're what make you prioritize. CPUs hit bottlenecks. Humans hit bottlenecks. Pretending otherwise doesn't make you more productive. It makes your vibe-coded app look like everyone else's.
She also called out the cognitive cost of context switching that nobody talks about. Having five Claude terminals open, jumping between code and content and calendar planning, feels productive. The morning after, it feels like a Netflix binge you can't quite justify.
The goal isn't to do everything AI makes possible. The goal is to do the things that matter, with the clarity to know the difference.
Simple Won a Hackathon
The proof is in Bernie's origin story. Vanessa and her co-founders entered a 36-hour hackathon with over 200 teams. They had grand plans. They scaled back to something embarrassingly simple: an SMS agent that helps seniors recognize and avoid scams.
They took first place. The judges told them the idea won precisely because of its simplicity and focus. It works. It helps real people. It doesn't need to be complex to have impact.
That's the whole philosophy: simple and effective beats complex and impressive every time, in hackathons and in your business.
What This Means for You
Before you open a new Claude chat today, try this: What do I actually know about how I think? What's my relationship with information overload? Where in my business am I reaching for AI because I saw it on someone's feed, not because it solves a real problem?
The women building with AI in a way that actually sticks aren't the ones with the prettiest setups. They're the ones who took the time to understand themselves first.
That's the real strategy. Everything else is just a dashboard.
Connect with Vanessa Chang:
https://www.tiktok.com/@thinkwithv
