Unlock Your Hidden Gifts with AI | Joses Ngugi from Revinu.AI

Full video transcript

Darby opens the episode of the Scale with AI Summit series with Joses Ngugi, founder of Revinu.ai, noting Ngugi’s unusual path into AI and the problem he’s solving: helping people who already have valuable knowledge get it out of their heads and monetize it.

Ngugi explains he’s a doctor of physical therapy by training with no original plans to get into AI. After realizing his clinical career wasn’t the right fit and finding himself deep in debt, he fell into entrepreneurship. A coach told him everyone has experiences and gifts they can use to solve problems and make money — a simple idea that stuck with him. His first business involved mentoring people into school, and clients eventually asked him to teach them how he did it.

An early approach of teaching generic “best ways to make money” (sales, real estate) largely failed, because it didn’t match who people already were. The clients who succeeded were the ones who leaned into what they were naturally good at — one client, in grad school at the time, was earning about $230,000 a year by ignoring generic advice and using only her own strengths. That observation led Ngugi to rebuild his business model around helping people start businesses from their natural talents and gifts.

AI entered the picture because the discovery process — getting on calls, asking questions, identifying gifts and talents, then doing market research — was slow, taking months to launch an aligned business. Ngugi began using ChatGPT and got skilled at prompting. In the summer of 2024 he asked a contact whether it was possible to train an AI on his entire process and IP rather than relying on generic prompting. That conversation led to building what is now Revinu.ai, now on its third version.

Ngugi lays out the four questions his framework uses to find a person’s “money maker”: what are you good at, what do you lose track of time doing (what you love), what have you been through (painful or formative experiences), and what are your natural gifts (what people have always said comes naturally to you). He shares an example of a client who broke down crying when asked about hardship, because it connected to losing her father to cancer and becoming his caregiver — she later built a business helping others going through the same experience. Ngugi says the through-line across the four answers becomes the first hint of a business, which is then matched against real problems people have and are willing to pay to solve.

Darby connects this to a broader AI principle: the quality of context you give any AI system — Claude, ChatGPT, or a custom tool like Revinu.ai — determines the quality of its output, so the internal work of answering these deeper questions matters regardless of which tool is used.

Asked about blockers, Ngugi says the biggest one is belief, not skill. People are often much better at recognizing gifts and strengths in others than in themselves, so when asked directly “what are your natural gifts,” many panic and say they don’t know. Revinu.ai works around this by rephrasing the questions — asking what people come to you for, or what people close to you tend to ask you for — which surfaces the same information without triggering that self-doubt. Ngugi references Myron Golden’s idea that you first have to “become the person” (an identity and belief shift) before consistently doing the actions that produce an outcome.

The two then move into a live demo of Revinu.ai. Ngugi describes it as having three components: a business builder (a guided, start-to-finish AI experience trained on 17 specific questions), a coach for when someone gets stuck, and specialist “employee” agents that handle individual functions like market research, content/brand voice, and sales. The tool is designed for people who aren’t confident prompting AI directly — it simply asks the 17 questions (covering impact, natural strengths, enjoyment, teaching experience, lived experience and story) and the user responds by typing or speaking. After intake, the tool produces an analysis, then runs market research to identify real problems people are struggling with and would pay to solve.

Ngugi walks through the specialist agents in more detail: a market-research specialist that analyzes a user’s gifts and skills against real market pain points; a content/brand-voice specialist that interviews the user (rather than just accepting a prompt) so content sounds authentically like them rather than generic AI output; and a sales specialist that helps structure conversations and can analyze sales calls to flag where trust was lost or where a user talked too much.

Darby and Ngugi discuss why breaking the process into modular, specialist-driven steps works better than one general-purpose AI trying to handle everything — narrow, clearly defined roles for each “employee” agent keep outputs focused and prevent the AI from drifting off track, similar to prompt and context engineering principles taught at Gen AI University.

To close, Ngugi shares advice built around a Les Brown quote: that the graveyard is the wealthiest place on earth because it holds all the ideas, dreams, and songs that never came to be. He encourages viewers not to let self-doubt or a belief that they need more time or experience stop them from acting on what’s already inside them — noting he was told he needed another 10-15 years of experience before starting a business, and started anyway while still in school.

Ngugi directs viewers who want to connect with him to his Instagram (joseph.ngugi) and those who want to try the software to revinu.ai, which offers a free 48-hour trial.