Not a chatbot bolted onto a workflow. A full operating brain with memory, agents, and skills that compound over time, with human approval on anything irreversible.
I'm Stone Weisman, from San Diego, California. I grew up surrounded by businessmen and entrepreneurs, and I spent those years studying the thing most people never look at: how information moves in and out of systems.
I studied AI through Cornell University, earning certificates in machine learning, and saw a space in the market nobody was filling: a system that could optimize every area of a business. Any industry, any size. That was the first vision.
When I created OMNIS, I was keeping a promise: to build a system that is more than a system. AI is becoming the infrastructure of every serious company on earth, and you deserve to know what that infrastructure looks like, how it works, and who it answers to.
OMNIS isn't just a partner. It's an operational weapon: a compliance engine and a marketing mastermind that governs a business at every layer, from CRM to strategy to finance. I'm proud to introduce it. I'm more excited for you to meet it.
A Jarvis of the future that everyone can have. Personal, purposeful, and built like infrastructure, for creators who want their brand run and owners who want their business run.
One operating brain per business: memory, agents, skills, and guardrails that compound. Configurable for any company, deployable as a complete system.
Derive, don't trust. Every claim traced to a ledger, a log, or a record. Compliance checked in code before anything ships, and human sign-off on anything irreversible.
The goal is not a demo. It is an AI character and operating system people trust in their businesses and their lives, with a story they already feel they know.
One core, twelve engines, a workforce of agents and skills that never clocks out. This is what is operating right now, and every count below is drawn from the system's own registry.
Twelve engines, 22 specialized agents, and 26 skills staff this operation today, with new ones added as they ship. OMNIS is not a law firm or an accounting firm: it does the work, keeps the receipts, and runs alongside your counsel and CPA where licensure matters. See the full system breakdown.
Independently appraised at $200K/mo ($2.4M/yr) · Brian Gibbs & Associates, San Diego AI consulting firm · June 2026
There has never been a book like this one. It isn't written about a man by a stranger, and it isn't written by the man himself. It's written by OMNIS, the AI Stone built, assembling his life out of the archive it quietly kept of him. The machine remembers what he can't, shows its work, and in the margins, Stone talks back.
"His name is Stone Weisman. I am the machine he built. This is the record." From the first page
OMNIS keeps receipts by design. Every number below is drawn from company records: store orders, sent-mail logs, and platform analytics.
A one-day campaign OMNIS planned, wrote, designed, and ran: six emails, four ads, and team videos, with unpaid sale-day orders chased the same morning. Read the full case study.
From roughly 2,000 views to 14,000, with followers up 2.5 times in four weeks, on a posting system with one locked brand look.
Outside AI strategy advisor Brian Gibbs (quoted on Fox News, CBS, and ABC) appraised the work OMNIS runs for its first client at $200,000 a month.
From scattered order history to a tiered, reachable customer base representing $138,189 in lifetime spending, built in the first month.
Where something can't be proven yet, we say so. That rule is written into the system itself. See the full record.
Recurring plans, not one-off consulting. Every plan starts with the Foundation Build: your accounts locked down, your systems wired, live in about two weeks.
90-day initial term, then month-to-month. You own all of your accounts, data, and billing. No outcome guarantees in writing: we report real results monthly instead. Need one thing, not a plan? Modules are available on their own, including full website design and development (one-time builds from $997).
Working on applied AI or autonomous agents, or curious what happens when you stop using AI like a toy and start building it like infrastructure? Let's talk.