Braydon Carter
AI strategist who filters every project through three outcomes: save time, save money, or make money.
About Braydon
Braydon Carter is an AI keynote speaker, founder of Amplify AI, and author of Purpose Over Pressure: Using AI to Become More Human, Not Less. He works with companies, associations, leadership teams, sales organizations, and business owners that want to use AI without losing sight of the people and decisions the technology is supposed to support. His approach is practical and outcome-driven: use industry-specific systems to make money, save money, or save time, then leave the projects that cannot do one of those things alone.
His path into AI strategy moved through mindset coaching, door-to-door sales, website design, SEO, and marketing systems. That range shaped the way he teaches AI today. He starts with curiosity and a clear operating problem, then treats the system like a new employee that needs an SOP, context, and access to the right tools. In one example from the episode, he turned an assistant's notes and a PowerPoint mockup into a working website demo in two days, giving the client something concrete to evaluate instead of another proposal.
On Above the Edge, Braydon joined Colten Page to explain how to make AI useful before making it complicated. Their conversation covered the progression from simple discovery to integrations, workflows, and agentic automation; why businesses waste money by skipping the fundamentals; and how rapid prototypes can compress weeks of indecision into a working demonstration. The throughline was direct: start with the decision or task, write the instructions clearly, and measure the result against time, money, or growth rather than novelty.
Ideas from the conversation
Every AI project needs an economic test.
Before building, decide whether the system will save time, save money, or make money. If it cannot produce one of those outcomes, the technology is adding motion rather than leverage and should not be the priority.
AI performs better when it receives an operator's context.
Treat the system like a new employee. Give it the SOP, the objective, the constraints, and access to the tools it needs instead of expecting a vague prompt to produce a reliable business process.
Curiosity is the entry point to useful automation.
Start with small research, writing, or discovery questions before jumping into complex agent networks. That progression builds confidence and exposes the real use cases worth integrating into a repeatable workflow.
A working prototype can replace weeks of explanation.
Braydon used existing notes, a PowerPoint mockup, and company branding to produce a website demo in two days. Showing the finished direction let the client evaluate something real and move directly to the commercial decision.