
“Vishnu is fantastic. His knowledge, patience, and ability to effectively communicate were top tier.”Verified review on Trustpilot, July 2026
The problem
David Oralevich has been building for the web since the late 1990s. ApolloClaw is his AI implementation practice: a private agent per business, wired into the tools that business already runs, for law firms, medical practices, accountants and PE-backed portfolio companies, from small business up to enterprise.
The agents were good. Delivering one was the problem. Every client got a Mac mini on a shelf in his office, and roughly a day and a half of his own hands.
“Totally, completely customized for every single client. We go through an onboarding Zoom and then I give them an extensive questionnaire. I get it all back. I assess it. I create the MD files right from there. I load the instance. I add Docker. I add all of the basic skills.”
The expertise scaled. The shelf did not. Nobody could buy an agent at 2am, nobody but David could deliver one, and every new client added a machine he had to keep alive.
What they run now
ApolloClaw sells the customization now, not a catalog of named agents. A customer takes a license, either self-served or set up with David on a call, and answers the onboarding questionnaire. Those answers are the trigger: his app calls us once, and an isolated OpenClaw agent comes back with the customer’s own answers already written into it as the files the agent reads on boot.
Every agent is private to one customer and always on, with its own model-spend cap that David sets and lifts whenever a customer wants more headroom, so no single account can move his cost base. Gmail, Slack, Salesforce and the rest connect from inside his dashboard, and a client can invite their assistant onto the account without David touching anything.
None of it carries our name. Customers sign in at apolloclaw.ai and talk to an assistant they named themselves. David holds one API key.
The outcome
- A day and a half becomes one API call: The onboarding conversation and the questionnaire still shape the agent. The hand-written files, the Docker step and the machine on the shelf are gone.
- One private agent per customer: Isolated, always on, with its own files, its own connected tools, and its own model-spend cap that David raises whenever a customer wants more headroom.
- The brand stays his: Customers sign in at apolloclaw.ai and talk to an assistant they named themselves. They never see us. David holds one API key.
David kept the part clients pay him for, which is knowing what a law firm actually needs an agent to do. We took the shelf.
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