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RyanCwynar
RyanCwynar

Posted on • Originally published at ryancwynar.com

Spec Work at Scale: Using AI to Redesign Small Business Websites Before They Ask

Most freelancers hate spec work. You spend hours building something, send it to a stranger, and hear nothing back. The math never works.

But what if you could do spec work in 15 minutes instead of 15 hours? That changes everything.

The Ugly Site Strategy

I started a simple experiment: find small businesses with terrible websites, redesign them using AI, and send the owner a link. No pitch deck. No discovery call. Just "here is what your site could look like."

The workflow looks like this:

  1. Find the business — Google Maps, Yelp, or my AI prospect finder surfaces businesses with outdated sites
  2. Scrape their content — Pull real copy, images, phone numbers, and service descriptions from the existing site
  3. Generate a redesign — AI builds a modern static site using their actual content
  4. Deploy instantly — Push to GitHub Pages, get a live URL in seconds
  5. Send the link — Email or call with "I rebuilt your website, take a look"

The key insight: using their real content instead of lorem ipsum makes it feel personal. When a roofing company owner sees their own phone number, their own service list, and their own business name on a polished modern site, it clicks immediately.

Why This Works Better Than Cold Outreach

Traditional cold outreach for web services is brutal. You are competing with every agency, every Fiverr freelancer, every cousin who "knows WordPress." Your email looks exactly like the 50 others they deleted this week.

A live redesign is different. It is tangible. The business owner can pull it up on their phone and show their spouse. They can compare it side-by-side with their current site. You have already done the work — the conversation shifts from "should I hire someone" to "should I hire THIS person."

I built a before-and-after screenshot system that puts the old site next to the new one. The contrast does the selling.

The Technical Stack

Each redesign is a static site — just HTML, CSS, and maybe a bit of JavaScript. No CMS, no database, no hosting costs. GitHub Pages serves them for free.

The generation process uses a templating approach:

  • Scrape the original site for content and images
  • Pick a color scheme that fits the industry (navy for roofing, green for lawn care, warm tones for restaurants)
  • Generate semantic HTML with proper sections: hero, services, testimonials, contact
  • Include real CTAs with the business phone number and address
  • Deploy to a subdirectory under my GitHub Pages domain

Each site takes about 10-15 minutes of AI-assisted work. Compare that to the 8-20 hours a traditional redesign would take.

Adding Tracking

Here is where it gets interesting. Each redesign URL includes a unique tracking parameter tied to a prospect record in my database. When the owner clicks the link, I know. When they visit multiple times, I know. When they forward it to someone else, I see that too.

This turns spec work into a lead scoring system. A prospect who visits their redesign five times in two days is warm. A prospect who never clicks is cold. I focus my follow-up on the people who are already interested.

What I Learned

After building redesigns for dentists, roofers, auto repair shops, chiropractors, and lawn care companies, a few patterns emerged:

Speed beats perfection. A good redesign shipped today beats a perfect one next week. The business owner does not care about your CSS architecture.

Industry matters. Some industries respond much better than others. Service businesses with ugly sites and high customer lifetime value (roofing, dental, HVAC) are the sweet spot.

Follow-up is everything. The redesign gets attention, but closing requires a phone call. Email alone has maybe a 5% response rate. A call referencing the redesign you sent gets much higher engagement.

Saturation is real. In a small metro area, you will run through the best prospects quickly. Build the system to expand geographically when local leads dry up.

The Bigger Picture

This is not really about websites. It is about using AI to collapse the cost of demonstrating value. The same pattern works for any service: show, do not tell.

When the cost of creating a sample drops to near zero, spec work stops being a gamble and becomes a strategy. The businesses that figure this out first — in any industry — will have a massive advantage in customer acquisition.

The tools exist. The only question is whether you are willing to build the pipeline.

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