Bill Belcamino  ·  AI operator & systems engineer  ·  Litchfield Park, Arizona

I run a ten-site company with a team of AI agents.

One person, ten live websites, and a team of AI agents that research, build, deploy, check and log their own work every day under rules I wrote. I designed the operating system that makes that safe, and I run it with my own money on the line. The engineering degree, the COO years and the Google partnership came first; this is what I do now, and what I can build for your business.

Independent. Open to the right full-time role, and happy to talk through what you want built.

Bill Belcamino
Fig. AEngineer by training
Fig. BOperator by experience
Fig. CRuns on AI agents
Fig. DOwn money at stake

Where the risk was real

HPAuctivaeBayAlot.comGoogleBrandetizeTen Golden Rules

Inside the operation

What a one-person company looks like when the staff are agents.

Every number below is real, pulled from the operating system on 2 October 2026. This is not a demo. It is how my sites get built, checked and kept current while I sleep.

10live sites, built and run by me and the agents
41scheduled agent tasks: growth runs, audits, price checks, event verification, backups
8defined AI roles, from growth lead to an independent QA verifier. See the org chart
60+written operating rules the agents follow, every run, no exceptions
825 vs 441visits from AI assistants vs Google organic across the portfolio, last 28 days (GA4, 1 Oct 2026)
  1. 01Company BrainOne shared folder: the facts, the rules, the task lists and the logs. Agents read it before they do anything.
  2. 02Scheduled agentsTasks fire on their own, several times a day, each playing a defined role with a written brief.
  3. 03Build and deployChanges go to the sites over the API with a backup taken first and a rollback line written down.
  4. 04Independent QAA separate verifier checks the live result, logged out, before anything is called done.
  5. 05Log itWhat changed, why, the IDs and how to undo it, in the Brain, the same session.
  6. 06I approve the restMoney, sending, deleting and new pages wait for my yes. Everything else moves without me starting it.

The point is not that AI writes things. It is that an AI team can run a business safely when the rules, the memory and the approval loop are engineered properly. The full write-up of the system is here, including what broke and what I changed.

What I do

Three things, all built on the same system.

I build it for my own company first. If it does not survive contact with ten real sites and my own bank account, I do not recommend it to you.

An AI operating system for your company

The Brain, the rules, the roles and the scheduled agents, built around how your business actually works. Recurring work gets done by agents; the decisions that matter still come to a person. Tell me what you need and I will introduce you to the build team I trust to design, install and document it, so your team can run it.

Being the answer AI assistants give

Structured data, verified facts, clean entities and pages a model can safely quote. On my own sites that work now brings more visitors from AI assistants than from Google. I can show you the method, and how to get it applied to yours.

An AI operator on your team

If you want this run from the inside, by the person accountable for what gets automated, what never does, what the agents may do alone and how you know it worked, I am open to the right in-house role. This is the work I want to be doing.

What I will not do

Point a model at your keyword list and publish the output. It is cheap, it is fast, and it is the most reliable way to make a business worse. The same goes for agents with no rules, no memory and nobody checking. If that is the engagement you are after, I am the wrong person, and I will tell you on the first call rather than take the money.

Before the agents

Eight and a half years employed · Thirteen years exposed

200,000+ Users on the eBay selling platform I ran as COO
$70M Annual Google search syndication partnership I owned at Alot.com
$3M Cost avoidance delivered at HP managing global repair suppliers
13 yrs Running my own brands and portfolio, with my own money at stake

Who I am

Engineer by training. Operator by experience. AI by necessity.

Most problems are systems problems, and the interesting part is usually the part nobody is measuring.

I started with an electrical engineering degree from Chico State and spent eight and a half years at HP as a product development engineer, program manager and supplier manager. That is where I learned to look past the symptom to the system underneath it.

I left to become COO of Auctiva, which became the number one third-party selling platform on eBay: $20 million a year and past 200,000 users. From there I went to New York as VP of Product at Alot.com, where I built the brand from scratch and was the person on the phone with Google about a syndication partnership worth $70 million a year.

Then I did something most people at that level do not do: I stopped taking the next title and spent thirteen years building my own things. PPC arbitrage into CPA offers, affiliate systems, Amazon FBA, domain portfolios, blog networks in genuinely competitive niches. No salary, no cover. If a decision was wrong, I felt it in my own bank account.

Receipts from those years

$100K Profit in a single year running PPC arbitrage into CPA offers
35,000 Email subscribers built from scratch in a niche community I owned
~$300/day Daily revenue that list produced

Since then I have led SEO for Brian Tracy, Jack Canfield and Rule #1 Investing at Brandetize, built Delphi AI clones of Brian Tracy and Adam Markel, and directed search and AI-driven strategy for law firms at Ten Golden Rules, where the recommendation people wrote me was about bridging AI and management, not rankings. Now I run my own company on an AI team and help other companies get the same. The full career, year by year, is here. The through-line has not changed: work out what is really happening, fix what is genuinely broken, and build something that keeps working when nobody is watching.

Chico State BS, Electrical EngineeringWhere systems thinking started
8.5 yrs Hewlett-PackardProduct development engineer, program manager, supplier manager
COO Auctiva#1 third-party eBay selling platform · $20M/yr · 200,000+ users
VP Product Alot.com · MIVABuilt the brand from scratch; owned the $70M Google partnership
13 yrs My own propertiesPPC arbitrage, affiliate systems, Amazon FBA, domains, blog networks, a 35K-subscriber list
SEO Lead BrandetizeBrian Tracy, Jack Canfield, Rule #1 Investing · Delphi AI clones
Director Ten Golden RulesSearch & Strategy for law firms · AI workflows across the department
Now AI operatorTen sites run by an AI team under my rules · helping other companies get the same · Litchfield Park, AZ

Currently building

The sites the agents and I run.

Most consultants show you client logos. These are my own sites, built and kept current by the system above, with my own money at stake. It is where I test what I recommend before I recommend it to you.

Data hub · launched 2026

helpcompare.com

An independent database of SaaS pricing and switching costs. Every price comes from the vendor’s own pricing page and carries the date it was last checked; an agent re-checks the vendors every week.

City guide · launched 2026

projectsf.com

An independent guide to San Francisco events, arts and food, with a closure tracker verified by address against the city business register. Event dates are re-verified by agents twice a week, which is why AI assistants cite it.

Consulting · search and AI visibility

averageidiot.com

My consulting brand for small businesses. Google Business Profile, maps, local SEO and AI visibility, explained plainly and priced as a flat monthly fee.

Consulting · RC hobby shops

hobbyshopexperts.com

One niche, done properly. Local search, Google Maps and retention marketing written for RC hobby retailers, with a blog the agents draft twice a week from a shop owner’s angle.

Disclosure: all four are my own sites. I own them, built them and run them. None is a client, and nobody paid for a mention here. More on what I am building, and what it has taught me.

What people say

From the people who were there.

Fifteen recommendations written on LinkedIn between 2008 and 2026, by the people who managed Bill, reported to him, and shipped alongside him. Longer ones are excerpted; all are public on LinkedIn.

“One of his biggest strengths was his ability to bridge the gap between AI and management. Bill has extensive knowledge of implementing AI solutions into business workflows, which helped improve operations, make our department more effective, and create a better experience for our clients. I’d recommend Bill to any organization looking for a leader who understands both the people side of management and how AI and emerging technology can be applied strategically.”
Carlos AriasMarketing Engineer for Law Firms Reported to Bill directly · 2026
01 / 15

Working together

Four ways in.

This is for companies that want an AI operation that actually runs, with advice from someone who runs one. Not a slide deck about AI, and not a chatbot bolted onto the contact form.

If you are not sure which one you need, that is normal, and it is usually the first thing worth figuring out together.

Get it built

Tell me what you want automated. I will tell you honestly what is worth handing to agents and what is not, then introduce you to the build team I trust to set up the Brain, the rules, the first scheduled agents and the checks, documented so your team can keep it running.

See mine first

Not ready to build anything yet? I will walk you through how my own operation runs: what the agents do on a normal day, what broke, and what the same setup could look like in your business.

Hire me

Head of AI operations, AI operator, or whatever your org chart calls the person who makes agents useful and safe. I would rather do this work inside one company that takes it seriously than sell it ten times over.

Not sure yet

Plenty of the best projects started with “we should be doing something with AI and we are not sure what.” If that is where you are, a conversation costs nothing and usually clarifies more than a proposal would.

On trust

Agents earn autonomy one task at a time.

My agents did not start out publishing pages on their own. They started with research, then drafts, then changes with a backup and a rollback line, then a verifier checking their work, and only then the right to move without me. Each step was earned by a log that showed it was safe. Any build in your business should follow the same sequence, and anyone offering to skip it is selling something.

I would rather tell you that in the first conversation than three months into a project.

RULES FIRST

Start here

If your business should be running on this by now.

Send a short note: who you are, what the company does, and where the hours are going. If it is a fit, I will tell you how to get it built and introduce you to the right people. If it is not, I will tell you that too.

    Or send it from here

    Same inbox, no middleman. I reply to everything I can genuinely help with.