5 Uses of Artificial Intelligence That Will Blow Your Mind
Every few years something arrives that genuinely changes how websites get built. Artificial intelligence is one of those things — but the interesting part isn't the demo that writes a sonnet. It's the unglamorous work AI quietly takes off your plate.
Here are five uses we've actually put into production for clients, and what each one is really worth.
1. First drafts of everything
The blank page is the most expensive part of content. AI doesn't write your final copy — it writes the version you argue with. A service page draft that used to take a copywriter two hours now takes twenty minutes of editing.
The catch: a first draft is not a published page. Every AI draft that goes live on a client site passes through a human who knows the business. That's not a formality — it's the difference between content that ranks and content that reads like everyone else's.
2. Alt text and metadata at scale
Most sites we inherit have hundreds of images with no alt text and dozens of pages sharing one meta description. It's a real accessibility problem and a real SEO problem, and nobody wants to fix it by hand.
Vision models describe images accurately enough that a person can review a hundred suggestions in the time it used to take to write ten. On one 400-page site, this took alt-text coverage from 18% to 96% in an afternoon.
3. Conversion testing that doesn't need traffic
Classic A/B testing needs volume. Most small business sites don't have it — you'd wait four months for significance on a headline test.
Predictive models trained on conversion data can rank variants before you ship them. It isn't as authoritative as a real test, but for a site getting 900 visits a month, "probably better" beats "unknowable."
4. Triaging support requests
We field a lot of website requests. "The contact form stopped working" and "can you make the logo bigger" need very different people and very different urgency.
Classifying inbound requests automatically means the broken form reaches a developer in minutes instead of sitting behind eleven logo tickets. Clients notice this one immediately, even though they never see the mechanism.
5. Finding the thing that's about to break
This is the one we're most excited about. Feed a model your uptime history, plugin versions, error logs, and traffic patterns, and it gets good at spotting the shape of a site that's about to have a bad week.
Predictive maintenance turns 2 a.m. emergencies into Tuesday-afternoon chores. That's not flashy, but it's the entire job.
Where it still falls down
AI is bad at knowing what your business actually does. It will confidently describe your chiropractic practice as a wellness spa. It doesn't know that your busiest month is March, or that one particular client generates 30% of revenue and their portal must never go down.
Which is the real lesson: AI is leverage on people who already know what they're doing. Handed to someone who doesn't, it just produces more work, faster.