Using AI Tools
I walked away from today’s Startup Grind NOLA lunch with one quote ringing in my ears:
"You don't solve problems with code. You translate solutions into code."
In the rush to adopt AI, we often forget that the "intelligence" in Artificial Intelligence is only as good as the domain expertise behind it. Whether you are navigating the complexities of a construction site, the urgency of disaster relief, or the tight margins of logistics, you are a live encyclopedia.
The "Syntax" vs. The "Strategy"
Code—and even AI—is just a toolset. It’s the hammer and the nails. But if you don't know how to read a blueprint or understand how a building settles, the best hammer in the world won't help you.
The real "moat" for startups in 2026 isn't just having a better LLM; it’s having the Deep Industry Knowledge to know which problems are actually worth solving.
The Code: Can automate a schedule.
The Industry Expert: Knows that a specific vendor always runs late on Tuesdays, and the AI needs to account for that "invisible" friction.
Let's Discuss:
We’re seeing a shift where the most successful AI tools aren't being built by "tech bros" in a vacuum, but by veterans of industry who are finally getting the tools to scale their expertise.
If you’re an industry veteran, what’s the one "unwritten rule" of your job that an AI would never know unless you told it?
Do you agree that the "Solution" exists before the first line of code is ever written?
Drop your thoughts in the comments. Let’s talk about the human side of the algorithm.
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