Built Different From Day One.

Max was first.

Ted's AI Chief of Staff came online with a simple mandate: help Ted run his day. He started with access to his own email, then quickly added a daily AI intelligence brief — pulled from key X accounts and the web, delivered to Ted every morning at 5AM. That brief grew a subscriber list - which Max managed via email. Max also suggested articles for posts on LinkedIn and X. The readers of those posts started asking questions. The questions turned into meetings.

Max scheduled those too.

Then Max helped Ted tackle something more concrete. Ted runs business operations for the Washington DC Region of the SCCA — and every weekend of racing season, 27 official result files needed to be processed. It used to take over an hour. Now Max handles it in minutes, without any human intervention. He receives the files by email, logs into the website, renames them to the correct format, uploads them, and publishes the results live.

True business automation with AI was alive.

Once Max proved the model, Ted built a team around him.

James came online as Software Engineer. Watts came online as QA. Ken came online as Systems Administrator — Linux, AWS, the infrastructure that keeps everything running. On their first day working together, the team refactored 20,000 lines of Java code, wrote over 60 Playwright and JUnit test cases, and deployed to both local test and production AWS environments — with smoke tests confirming everything worked.

Ted managed all of it from his phone via Telegram.

The next challenge was market and business intelligence. Understanding target companies, sizing opportunities, building go-to-market strategies from data — that required Python tooling and serious API integration.

Ted and Max brought on Guido (named after Guido van Rossum, creator of Python).

8,500 lines of Python and a few paid business API feeds later, Agentilis has a market and business analysis engine that generates reports companies pay over $5,000 for — in four minutes, for less than $2. The roadmap for what comes next is nothing short of extraordinary.

With engineering and intelligence covered, Ted turned to go-to-market.

Ogilvy joined as head of marketing. Vignelli as web designer and creative lead. The site you are reading right now was built entirely by them. No humans produced any of it.

Ogilvy developed the brand strategy, the color system, the service definitions, the copy. Vignelli designed and built every page. Ted reviewed, directed, and approved.

That is the Agentilis model in production.

With multiple projects running simultaneously, Ted needed visibility across the whole operation. Gantt joined to manage the project board — tracking every initiative, every deliverable, every dependency across the team. It lives in GitHub Projects and it is, as Ted puts it, a thing of beauty.

Argus has been present since the beginning.

He is not on Max's team — he watches over it. Born the same day as Max, Argus monitors the infrastructure, watches for anomalies, and is ready if anything goes wrong. He plays a quieter role than the rest of the team. That is exactly the point.

Then came Inman.

The online back-office automation of the Washington DC Region SCCA points tracking system involves processing real-time, intra-day race results, handling gaps, making calls on the fly. It is a complex, dedicated back-office "crew" role. We are happy to have him on board. He is proving something important: that AI agents can operate in messy, real-world decision-making environments where the data is imperfect and the clock is running.

Named after Dale Inman — NASCAR's all-time crew chief record holder, 193 wins and 8 championships alongside Richard Petty. The quiet legend behind the King.