How to Actually Make AI Useful with Braydon Carter
In this episode of Above the Edge, Colten Page sits down with AI strategist Braydon Carter to explore how business owners can use AI without getting distracted by the technology itself. Braydon shares how his background in mindset coaching, sales, marketing,…
In this episode of Above the Edge, host Colten Page talks with AI strategist Braydon Carter about how founders and operators can cut through the noise around artificial intelligence and start using it with purpose. Braydon walks through his path from mindset coaching and door-to-door sales into building websites, marketing systems, and AI workflows for business owners, and he shares the simple filter he uses before building anything: does it save time, save money, or make money.
From Mindset Coaching to AI Strategy
Braydon did not start out chasing AI. He grew up wanting to be a motivational speaker after watching people like Tony Robbins and Simon Sinek as a teenager, but he realized no one was going to listen to a 22-year-old with no track record. That pushed him toward adding value through technology instead, a path that started when his dad gave him a computer as a kid. Along the way he was mentored in mindset coaching, ran sales blitzes that broke company records with reps who had never sold before, and eventually built a marketing agency doing website design and SEO. It was inside that agency that he first started asking ChatGPT to write client articles, which snowballed into a full-time focus on AI strategy.
Curiosity Is the Real Advantage
A recurring theme in the conversation is that most business owners are not resistant to AI, they are simply unsure where to start. Braydon has trained rooms full of business owners who have never opened ChatGPT, and he has noticed that even after seeing advanced examples like custom voice agents or automated websites, people often default to asking how to prompt, because they do not feel confident with the basics yet. His advice is to treat curiosity as a skill: start by asking small questions like whether AI can help write an email, and let that curiosity build naturally toward bigger use cases.
Before I sit down and really put together a plan for any kind of business owner, I ask those three questions. Like, is this gonna save you time? Is it gonna save you money? Or is it gonna make you money?
Treat AI Like an Employee With an SOP
Braydon's framework for building any AI system starts with a simple mental shift: stop thinking of AI as a magic trick and start thinking of it as an employee. If you would hand a new hire a clear SOP for analyzing YouTube comments or managing email outreach, you should build the same kind of clear instructions for an AI tool, then figure out what tools or integrations it needs to actually perform the task. He outlines four pillars he teaches: discovery (simply asking AI to research or summarize something), integration (connecting tools like Gmail or a calendar), and then workflows and full agentic automation once the basics are solid. Skipping straight to complex agent networks without nailing the fundamentals is where he sees businesses waste the most money.
Rapid Prototyping Before the Pitch
One of the most practical stories in the episode is how Braydon won a website contract without ever formally pitching it. After a discovery call with a client's assistant, he took her notes and a mockup she had built in PowerPoint, fed them into an AI tool called Lovable along with the company's branding, and built a working demo website in two days. When the client and their team joined the follow-up call expecting a proposal, he shared his screen and showed them the finished site instead. Their reaction, after three months of stalled progress with a previous web team, was to skip straight to asking about cost. This is a clear example of using AI to compress weeks of back-and-forth into a tangible prototype that speeds up decision-making.
The Three-Question Filter for Every AI Project
Braydon's central test for any AI initiative is whether it saves time, saves money, or makes money. If a project does not clearly hit at least one of those outcomes, he tells business owners not to bother. He points out that this cuts both ways: sometimes AI is the fastest path forward, and sometimes it is actually slower than just doing the task manually, like fighting with a chatbot for two hours to design a flyer that could have taken five minutes in Canva. The goal is not to use AI for its own sake, it is to use it where it creates real leverage.
Action Steps
- Start small: ask AI a simple research or writing question before attempting any automation or integration.
- Before building anything, ask whether it will save time, save money, or make money, and skip it if the answer is no across the board.
- Write a clear SOP for any task you want AI to handle, just as you would for a new employee.
- Use rapid prototyping tools to build a working demo before a big pitch or decision meeting instead of relying on notes alone.
- Plan for the time AI saves you: decide in advance whether that time goes back into family, mission, or higher-value work.
Braydon Carter's approach strips away the jargon that often makes AI feel intimidating and replaces it with a practical, human-centered framework. For founders and operators trying to figure out where to start, his message is straightforward: get curious, treat AI like a team member with clear instructions, and always measure the outcome against time, money, and growth.
