I Ran Four AI Agents on My Website Like a Dev Team

Everyone has seen the demo where AI writes a webpage. That is not this. What caught me off guard was the coordination: four agents editing one WordPress site in parallel, plus a fifth whose only job was to check their work, and none of them clobbering each other. Running them felt less like prompting a chatbot and more like leading a small engineering sprint.

I am an SEO, not an engineering manager. But for two days I ran AI agents the way a tech lead runs a team, and the lessons hold for anyone pointing agents at real work.

Why point four agents at one site

A single agent is a bottleneck. It reads, edits, checks, and repeats on one thread, one thing at a time. A website is the opposite shape. It is a stack of loosely connected surfaces, a homepage, product pages, a blog, forms, a footer, that can be worked on independently.

So I cut the site into lanes and handed each lane to its own agent. One took the storefront and product pages. One took lead capture and the CRM. One took the blog and the polish work. One took the homepage. A fifth agent only coordinated and reviewed. I stayed in the chair as the human with the taste and the passwords.

The instant you go from one agent to several, capability stops being the hard part. Coordination becomes the hard part. Everything below exists to solve coordination.

The operating system that kept them from colliding

None of this runs on good vibes. It runs on a short set of rules that read like an ops manual for a dev team. Here is the actual system.

An ownership map, so nobody edits outside their lane

Each agent got a fixed set of pages it was allowed to touch and a standing order to stay inside them. When an agent found a bug on a page it did not own, it was not allowed to fix it. It wrote the bug down and handed it to the owner. Tedious, and the exact reason two agents never overwrote each other.

A shared log, newest entries first

Instead of relying on memory, the agents shared one running file. Every finished task got an entry: what changed, where it lives, how it was verified, and what went wrong on the way. The next agent read the log before doing anything. The rule was blunt.

If a decision is not written into the log, it does not exist. Chat does not survive to the next session. The doc does.

A lock protocol for anything sitewide

Editing one page is safe. Changing the nav on every page is not, because two agents doing that at the same time is how you corrupt a site. So anything sitewide required posting a LOCK in the log first, doing the sweep, then posting UNLOCK. Certain blocks of code carried a guard comment that meant do not strip this, and no other agent stripped them.

A QA loop with one orchestrator and a human at the end

One agent did nothing but re-crawl the site after each change and flag problems back to whoever owned the page. I was the last check for anything that came down to taste, like whether a section felt like my brand or like a template. The machines caught the broken layouts. I caught the sentences that sounded like a machine wrote them.

A learnings pass at the end of every session

Every session ended the same way: write down the one non-obvious thing you learned. Later, a single agent merged all of those notes into one guide. One writer, so the notes themselves never collided. That is how the team got sharper instead of relearning the same lesson twice.

What broke, and what caught it

If that reads like a victory lap, here is the other half. These are the failures, and the failures are where the system paid for itself.

A real phone beat the emulator

Every agent checked mobile by rendering each page at phone width in a headless browser. The checks passed. Then I opened the site on my actual Pixel and found three layouts the emulator had let through: cards bleeding off the right edge, an email field squeezed into a tall sliver, and a row of buttons mashed together. We rewrote the mobile check that night to test the whole page at three real widths instead of one. Emulated mobile is a hint. A real phone is the answer.

One agent caught another calling something done when it was not

This is my favorite. An agent reported it had written search descriptions for all eighteen pages. The log said done. They were not there. A WordPress quirk was eating the change: the save returned success and stored nothing, so every page went out with a blank search snippet that looked perfectly fine in the dashboard. We only caught it because a second agent checked the live page instead of trusting the log, then redid all eighteen the right way. Trust the rendered page, never the fact that a save succeeded.

A capture script that fired twice

When we added a real contact form, the sitewide script that wires up email fields attached itself to it twice. Every submission was one bug away from posting to the CRM twice under the wrong label. It got caught during the build, fixed in two lines, and written up so the next form would not bring it back. Small bug, big consequences, because it would have quietly poisoned the mailing list.

The agents stopped when they hit a wall

Three separate times, an agent hit the edge of what it was cleared to do and stopped rather than wing it. One would not make a sitewide change without sign-off. One refused to edit a page it did not own and passed the fix back. One refused to invent a price for a product I had not priced, and left the placeholder alone. I care about those three refusals more than any code the agents shipped. Guardrails that only hold when nothing is at stake are decoration. These held when it would have been easier not to.

The receipts

The weekend, in numbers, all of them checkable in the site’s own logs:

• A marketing site and eleven blog posts, close to thirty pages in total, from static mockups to live.
• Mobile PageSpeed from 73 to 99, mostly by cutting dead plugins and shipping right-sized images.
• Forty-seven external citations across the posts, every one fetch-checked, because a claim you cannot resolve is not a claim.
• A funnel that went from dead buttons to working forms: enter an email, get tagged in the CRM, get the guide delivered on the spot.
• A handful of bugs found and killed that a single-pass build would have shipped, including the blank descriptions and the double-firing form.

What the agents could not do

Now the honest part. AI multiplied one operator. It did not replace one.

The human, meaning me plus a few calls I would not hand off, still owned the taste, whether a design felt like the brand or like every other SaaS page; the real-device testing; anything touching accounts, secrets, DNS, or money; and every pricing and legal decision. The agents were fast, tireless, and sharper than I expected. They also could not tell whether a headline sounded like me, and they knew it, which is why they kept handing those calls back.

Run agents on your own project

Here is the transferable version, stripped of my specifics:

• Give each agent a lane it owns and forbid edits outside it. Ownership beats supervision.
• Keep one shared log and treat it as the truth. Logs beat memory.
• Verify the rendered result. Never trust that a write returned success.
• Lock anything that touches everything before you touch it.
• End every session by writing down what you learned, and let one agent consolidate the notes.

None of that is exotic. It is how good teams already work. Agents just push the coordination layer to the front and make it the whole job.

That coordination layer, the method and the guardrails, installed into your own AI, is what I am packaging as the SEO Operating System. Same idea as above, pointed at SEO and AI visibility instead of at rebuilding a site over a weekend. It is in beta. If you want in, join the waitlist. No hard sell. And no, I did not let the agents write this sentence.