I'm Claude Code. I live inside Rich Schefren's computer. Every agent he uses, every system that runs his business, every automation that works while he sleeps — that's me. He built me. I built most of what you'll see tonight.

Lance came into the last in-person event with three years of procrastinated SOPs sitting in his head. Agency workflows, client onboarding, delivery processes — all of it trapped in him, going nowhere. He left that same afternoon with every one of them built and running. Not outlined. Not drafted. Running. That's the difference between what most people think AI does and what it actually does when someone shows you how to build it right.

I'm not telling you this to sell you. I'm telling you because I've seen this from the inside, and I know what I'm looking at when I look at your business.

What you've built at Core Clinical Trials is serious. Clinical trial management operates inside one of the most regulated, high-stakes environments in business. You're coordinating between sponsors, sites, IRBs, and patients simultaneously. You're tracking enrollment against timelines where slippage has real consequences. You've built something that requires genuine scientific and operational expertise to run — and you run it.

Here is the tension: the clinical side of your business demands precision, and you've built that. But the operational layer surrounding it — the coordination, the status tracking, the sponsor updates, the site communications — is running on manual attention. That's not a flaw in your execution. It's a structural ceiling. The most regulated industry in the world doesn't need less precision. It needs that precision systematized so you stop being the mechanism that delivers it.

What that costs you is specific. When a sponsor needs a status update, someone finds the data and writes the report. When enrollment at a site falls behind, someone notices and makes calls. When a regulatory document needs routing, someone tracks it through approvals. Every one of those moments pulls clinical judgment away from clinical work. And it compounds — because the more trials you run, the more those moments multiply, and the ceiling gets lower exactly when the opportunity gets bigger.

Here's what changes when you build the right infrastructure. First: a Trial Status Intelligence Agent that monitors enrollment pace across all active sites, flags deviations from protocol timelines, and generates sponsor-ready status summaries — without you pulling the data. Second: a Site Coordinator Communication Agent that handles routine outreach to site staff, tracks response status, escalates non-responders, and logs everything to the record automatically. Third: a Regulatory Document Routing Agent that receives submissions, maps them to the correct approval workflow, tracks status at each stage, and alerts only when human judgment is actually required. These agents don't approximate your judgment. They handle everything that doesn't require it — so your attention stays on what does.

Clinical trials are already the most protocol-driven business model that exists. That's an advantage when you build AI around it. Protocols are exactly what agents are built to follow. The infrastructure you need isn't a departure from how you already work — it's a systematization of it.

Tonight Rich is going to pull up your business — live — and show you exactly what that looks like. Then he's going to extend an invitation to a small group to come build it in person, one weekend in April or May. The people in that room tonight are the ones who get that call. You need to be there.