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Victor Cheng spent nearly a year using AI before realizing something surprisingly basic: it did not even know the name of his company.
It did not know what the company sold. It did not know who his customers were. It did not even know who his best customer was.
That realization became the foundation for his book, Teach AI Your Company.
In this episode of the Growth Elevated Leadership Podcast, Julian Castelli sits down with Victor, CEO of SaasCEO.com, to explore why the quality of AI output often depends less on switching models and more on the context a company gives the model in the first place.
Victor explains why businesses need to capture the tacit knowledge currently living inside employees’ heads, meetings, presentations, customer conversations, documents, and workflows. His own team spent months transcribing years of material, eventually building a knowledge base of roughly four million words.
But the breakthrough started much smaller. Victor created a basic company overview and ideal customer profile. With only a few pages of additional context, he says his AI outputs became roughly two to three times better.
🔑 Key Takeaways:
Why disappointing AI results may actually be a context problem
What it really means to “Teach AI Your Company”
How to turn tacit company knowledge into usable AI context
Why Victor digitized years of presentations, recordings, and company knowledge
How just a few pages of context improved his AI outputs by roughly 2 to 3 times
Why company-specific knowledge can make AI dramatically more useful
The lesson is simple but powerful: before expecting AI to understand your business, you have to teach it what your people already know.
👉 Learn more about Growth Elevated: https://growthelevated.com/
