Excel first: the fastest way for a non-technical person to feel AI is real
Every AI training I run starts in the same unfashionable place: Microsoft Excel. Not chatbots, not image generators, not a slide about "the future of work." A spreadsheet. Here's why that's a deliberate choice, and why it works every single time.
The credibility problem
If you're a normal working adult, you've now sat through years of AI hype. You've seen the demos. And you've probably had the deflating experience of trying an AI tool and getting something generic, wrong, or useless for your actual job.
So when someone says "AI will change how you work," you have every right to fold your arms. Claims don't cross that gap. Only one thing does: watching AI fix a problem you personally have been annoyed by for years.
Why Excel is where that happens
Because that's where the annoyances live. Nearly everyone in a small business already works in spreadsheets, and nearly everyone has a private list of spreadsheet miseries: the report that takes an hour of copy-paste every Monday, the formula someone built in 2019 that nobody dares touch, the two exports that never quite match up.
These problems are perfect for a first AI win, for three reasons:
- You already know what "correct" looks like. You've done the task by hand a hundred times. When AI helps you automate it, you can immediately verify the result — no faith required. (This matters more than people realize; it's the heart of asking precisely.)
- The wins are minutes away, not months. Describe the copy-paste ritual to an AI, ask it for a formula or a small macro, paste it in, watch an hour of your week disappear. The feedback loop is almost instant.
- It's yours. The first tool you build solves your problem, on your data, at your desk. That's the "homegrown" part — and it lands completely differently than any demo.
What a first session actually looks like
Someone brings a real spreadsheet they fight with every week — say, a Monday sales report stitched together from two system exports. We describe the ritual to an AI in plain, precise language: what the columns mean, what gets matched, what the finished thing looks like. The AI proposes formulas or a small script. We try it. It's slightly wrong. We say how it's wrong, it fixes it, and a few rounds later the Monday ritual is a button.
The technical output is nice. The important output is the look on someone's face when they realize they just directed a computer to build them a tool — without becoming a programmer. Every skill I teach afterward stands on that moment of confidence.
Start there, don't stop there
Excel is the front porch, not the whole house. From there, the same skills — describing work precisely, checking results, refining in small steps — carry straight into file automation, data cleanup, and eventually real custom tools. But confidence has to come first, and confidence comes from a win you can verify with your own eyes.
The takeaway
Don't start your AI journey with the impressive stuff. Start with the spreadsheet task you already hate — because it's the one place you can verify the win yourself, minutes after asking.
Have a Monday-morning ritual you'd love to delete?
Bring it to a free intro call. Worst case, you leave with a clearer picture of what's possible.