Vishen LakhianiFounder of Mindvalley | NYT Bestselling Author | Transforming Lives Globally

The 5Ps Framework for Agentic Development

28 Mar 2026 · 1 min

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1:27

In this presentation Vishen Lakhiani outlines a practical framework for building AI agents, emphasizing five key principles. First, define a narrow, purposeful role for the AI (e.g., COO, receptionist) so its function is clear. Second, decide who the system serves—whether it’s the creator, customers, or vendors—because a focused audience improves performance. Third, keep the AI’s scope niche to maximize effectiveness. Fourth, establish a central “portfolio” or “brain” (e.g., Google Drive, SharePoint) that stores all relevant information the agent can draw from. Fifth, persist every interaction (e.g., in sheets or databases) so mistakes can be reviewed and the model can be continuously trained, acknowledging that every AI launch is biased and imperfect and requires ongoing refinement.

Chapters

Don't use AI like a vending machine. Give me a transcript, write me a post, build me a job description, right? Become the producer. The first thing we have to do when we start building an AI solution is go back to that vision and narrowly focus the purpose of that thing. Is it my COO, right? Is it gonna manage operations? Is it a receptionist? Now I know the job, the purpose of this system. Who does it serve? Does it serve me? Is it serving my customers? Is it serving my vendors? It can, but you have to choose. The more niche your AI system is, the better it can serve you. And the next one, the portfolio. This means the brain. It represents where all of the information is. I just use another term, portfolio, and you might see it called brain. You might see it called Google Drive. You might see it called SharePoint, right? All of these just represent a place that your information is stored. When you use an AI model, the only way it knows that it did something wrong is if you actually say you did something wrong. So persistence, save all of your conversations somewhere, Google Sheet, database, doesn't matter, but save them so you can review them. The one place I'm going to ask you to strive for perfection is in the world of AI. And what that means is that every single AI model, when it launches, every model is broken. It doesn't know what you want it to do. It's trained on a bunch of data that has a bunch of bias. Like it doesn't know what good looks like. And now I have the opportunity to leverage an AI system to support me, but I have to train it.