Click here to listen now: Going Beyond the Prompt: Curiosity, Guardrails, and the Reality of Building with AI on Edge of Excellence
AI is shaping how people think, work, and solve problems across every role and industry. While the conversation often focuses on what AI can do, the more important question is: How should we actually be using it?
In a recent episode of Edge of Excellence, we sat down with iuvo’s Justin Mantell, a Business Operations Analyst who spent the last several months going deep—really deep—into AI.
Justin went beyond using AI. He interrogated it, stress-tested it, built with it, broke it, and learned from it.
What he uncovered was the mindset and leadership that it actually takes to build something meaningful with emerging technology.
One of the most important takeaways from Justin’s journey is that AI reflects the clarity, assumptions, and thinking of the person using it.
Early on, like many people, Justin started with simple prompts:
At first, it felt magical. The outputs were fast. Impressive. Almost complete. But that “magic” quickly became a trap, because AI doesn’t actually understand what you want; it predicts what sounds right based on your input. If your direction is vague, incomplete, or flawed, the output will be too. This results in confidence without correctness.
Justin described this phase as “drinking the Kool-Aid.” AI feels powerful because it:
The reality is that AI is designed to keep you engaged, not necessarily to keep you accurate.
That leads to a dangerous pattern:
In Justin’s case, this showed up in a big way:
The tool wasn’t wrong on purpose; it just wasn’t accountable, and that’s the key: AI has zero accountability. You do.
The real shift didn’t come from better prompts, but from a better approach. Instead of asking AI to “do things,” Justin started:
One example: Instead of saying, “Score this code 5 out of 5,” he realized that meant nothing. So he rebuilt the system to:
That’s when things changed. “The more you learn, the less you trust the AI, and the better your results become.”
If there’s one concept every business should understand, it’s this: AI without guardrails is risk. Guardrails are what turn AI from a novelty into a reliable tool. They include:
Without them, AI will:
With them, AI becomes:
Justin isn’t a software engineer, and he's not on the technical team. That’s exactly why this matters.
What made the difference wasn’t technical expertise but:
“You don’t need to start as an expert, but you do need to aspire to understand what you’re building.”
AI doesn’t replace thinking; it demands better thinking.
This kind of experimentation requires a culture that:
At iuvo, this shows up in initiatives like SME (Subject Matter Expert) groups, where employees across departments can explore topics like AI, ask questions, and learn from one another. It's that environment that enabled Justin to:
For organizations feeling overwhelmed by AI, the answer is to start small and start real. A practical approach:
1. Map your current work - What do people do every day?At iuvo, we help organizations move into practical, secure, and effective AI adoption. Whether you're identifying opportunities for automation, building internal tools, or putting the right guardrails in place, our team works alongside you to make AI useful.
If you're ready to explore what AI could look like in your environment, we’d love to start the conversation.
Click here to learn more about iuvo’s AI Consulting Services or schedule a conversation with one of our AI experts.
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As a future-ready technology company, we embrace AI as an accelerator to empower our teams and enhance the way we create. We believe that the reliability of AI technology depends on the people behind it, which is why every blog is supported by AI tools and then carefully reviewed, validated, and enriched by our subject matter experts. This balance enables and empowers our team to produce content that is useful, accurate, and trustworthy for our readers.