There is a lot of noise right now about AI in web design. Some of it is genuine. Some of it is marketing. The easiest way to tell the difference is to ask a studio to describe their actual process in specific terms.
This is ours.
MM8 Studio uses AI tools at every stage of a website build. Not as a gimmick and not as a replacement for judgment and craft. As a force multiplier that lets one operator produce work that used to require a team of four or five people.
The honest starting point
AI does not design websites. It does not understand a specific business, its customers, or what makes it different from the competition. It does not have taste in the way that matters for brand-level decisions. It cannot tell you whether a headline will land with a 58-year-old trades contractor in Edmonton or a 34-year-old design director at a luxury brand.
What AI can do is execute at speed and scale once those decisions are made. It can write ten versions of a headline in thirty seconds. It can generate production-grade code from a detailed specification. It can analyze search intent across hundreds of keyword variations in minutes. It can produce a first draft of an entire page that is 70 percent of the way to finished rather than starting from a blank document.
The operator's job is to make the decisions that AI cannot make, and then use AI to execute those decisions faster than any traditional process allows.
The MM8 build process step by step
Discovery and strategy
This phase is entirely human. One conversation, usually an hour. We learn what the business does, who its customers are, what it wants the website to accomplish, and what the client thinks makes them different. AI is not in this room. The decisions made here drive everything that follows.
Keyword and search research
AI tools analyze search intent, surface keyword opportunities, and map the competitive landscape for the client's specific market. What used to take an SEO specialist a week of manual research happens in a few hours. The operator reviews, filters, and makes the strategic calls about which terms to target and why.
Site architecture and content planning
The sitemap, page structure, and content hierarchy are designed by the operator based on the discovery session and the search research. AI generates first drafts of page outlines and content briefs. The operator edits them to reflect what was actually learned about the business in step one.
Copy and content
AI produces first drafts of all page copy: headlines, body text, service descriptions, calls to action. The operator rewrites, sharpens, and edits until the copy sounds like the actual business rather than a generic version of it. For a Foundation site, this process takes one to two days rather than the one to two weeks a traditional copywriter would need.
Design and code
The operator specifies the visual direction: color system, typography, layout principles, and the specific aesthetic the site needs to embody. AI generates production-grade HTML, CSS, and JavaScript from those specifications. The operator reviews every line, tests on multiple devices, and refines until the result meets the standard. This is not template assembly. The code is written to specification for the specific project.
SEO and structured data
Every page gets correct meta titles, descriptions, canonical tags, Open Graph data, and schema markup. AI generates these from the page content. The operator verifies they are accurate and strategically sound. This step takes two to three hours rather than the half-day it would take to do manually.
Deployment and verification
The site is deployed to a server the client owns access to. DNS is configured, SSL is installed, and the site is tested across browsers and devices. AI-assisted tooling handles the deployment mechanics. The operator verifies every page loads correctly and performs as expected.
Why this produces better results than a traditional process
The traditional web design process has a structural problem. It is slow not because the work is slow, but because of handoffs. The designer hands off to the developer. The developer hands off to the copywriter. The project manager coordinates between all of them. Every handoff introduces delay, miscommunication, and the kind of gradual drift where the finished site is subtly different from what was agreed in discovery.
When one operator handles the entire process using AI tools, there are no handoffs. The person who had the discovery conversation is the same person who writes the copy, specifies the design, reviews the code, and deploys the site. The knowledge from that first conversation informs every decision all the way to launch.
Edmonton Drywall went from first conversation to live website in 11 days. A traditional agency quoting the same project would have given a 6 to 8 week timeline. The difference was not cutting corners. It was removing the handoffs and using tools that compress the mechanical work.
What this means for AI search specifically
Building for AI search, meaning getting your business cited in ChatGPT, Perplexity, and similar tools, requires content that is genuinely authoritative and structured in a way those tools can parse. This is not the same as traditional SEO keyword stuffing.
Because the MM8 process produces content that is specific, accurate, and well-structured from the start, that content is already better positioned for AI citation than the generic copy most agencies produce. We also build the journal and content layers of a site with AI search in mind from day one, not as an afterthought.
The things we will not automate
Some things stay human regardless of what AI can technically do.
The discovery conversation. The judgment calls about whether a design direction is right for a specific brand. The decision to push back on a client instinct that is going to hurt the site. The read on whether copy is landing emotionally or just technically correct.
These are not things AI does poorly. They are things AI cannot do at all because they require understanding a specific person, business, and context in a way that no current tool can replicate.
The studios that produce the best work with AI tools are not the ones that automate the most. They are the ones that are precise about which parts of the process benefit from automation and which parts require human judgment, and then execute both with equal seriousness.
What to ask any studio about their AI process
If you are evaluating web design studios that claim to use AI, these questions cut through the noise quickly:
- Walk me through your actual build process step by step. Vague answers about "leveraging AI" are not a process.
- Who makes the design decisions? If the answer is "the AI," find someone else.
- Can I see the code of a site you built? Production-grade AI-assisted code looks different from template output. Anyone who knows what to look for can tell the difference.
- How does your process account for AI search, not just Google? Studios that only think about Google SEO are already behind.
- What do you not use AI for? This question reveals whether they have actually thought about the limits of the tools or whether they are just using AI as a marketing term.
The best answer to the last question is a specific, honest list. The studios that cannot answer it are the ones using AI as a label rather than as a genuine part of their process.