AI is everywhere right now. But most contractors don't actually understand how it works.
In this episode of Service Business Mastery, Tersh Blissett and Joshua Crouch sit down with Jeff Torello, founder of Sinjun AI, to break down what AI really is, how it works under the hood, and why so much of the industry is getting it wrong.
Jeff explains that AI isn't some all-knowing system. It's a probability engine that predicts the next word, with no real memory and no true understanding of context.
If you've been confused, overwhelmed, or skeptical about AI, this episode will give you a grounded, practical understanding of what's real and what's hype.
What You Will Learn in This Episode
• How AI actually works behind the scenes • Why AI is a probability engine, not a thinking system • Why AI does not truly "remember" conversations • Why responses change every time you ask the same question • How context windows impact AI performance • Why long AI conversations lose accuracy over time • The biggest misconception about AI in the trades • Why you should focus on solving problems, not buying tools • How to identify real AI solutions vs marketing hype • How AI will change jobs instead of eliminating them • What "human-in-the-loop" AI systems look like • How AI agents will evolve into task-based execution systems
Timestamps
00:00 What AI actually is (roulette analogy) 03:20 Jeff Torello's background and Sinjun AI 05:00 AI hype vs reality in the trades 07:10 Why you should start with problems, not tools 10:20 Why AI responses change every time 13:00 Why AI has no real memory 15:30 Context windows and why AI "forgets" 17:20 Why AI is only ~80% accurate 19:30 The emotional impact of AI on the workforce 22:00 Will AI replace jobs or create new ones? 24:00 The rise of human-in-the-loop systems 26:00 How AI agents will work in the future 30:00 The Gartner hype cycle explained 35:00 Why we're still early in AI adoption 38:00 Don't believe the hype
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