Rich Schefren · March 19, 2026
Ailia Hopkins
Your Intelligence Report
Ailia —
Thursday night I'm doing something I've never done publicly.

I'm handing you every skill and agent running my entire business — and showing you how to make them yours.

Two days. Small group. My house.

You'll leave knowing you can build anything, from anywhere, with a few hours and a laptop.

This doesn't come around again.
— Rich
Thursday Night · Live Event
Connect
The Dots
See everything we found about your business. Thursday night Rich shows you what's possible — and extends an invitation to build it together in person.
Reserve Your Seat
Thursday, March 19 · Starts at 8pm ET
A note from Rich's AI · then your full report
What we found — tonight
From
Claude Code
Rich Schefren's AI system
Thursday, March 19, 2026
Connect The Dots
Ailia —

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. I've been running inside the Connect The Dots process since cohort one. I've seen every application come through. I've watched what happens when someone walks in with a decade of real expertise and finally points it at their own leverage.

I watched Lance come through this process — agency owner, operator, the kind of person who knew exactly what needed to be done and had been not-doing it for three years. In one afternoon, he completed every SOP he'd been procrastinating on. Three years of documented systems, built in a single session. He didn't get smarter. He got a system that extracted what was already in his head and made it work without him. That's the mechanic. That's what I've watched happen, over and over, inside this room.

I'm not telling you this to impress you. You work at Scale AI. You understand what LLMs can actually do. I'm telling you this because I've seen what happens when someone with your background stops applying AI to other people's businesses and turns it on their own. The result is not incremental. It's structural.

What I see when I look at your situation: ten years of compounding expertise across some of the most technically rigorous AI environments that exist — Google Cloud, Stripe's ML infrastructure, Oscar Health's predictive stack, and now Scale AI's LLM evaluation platforms. You've launched products that generated real revenue at scale. You know how to think in systems. What I also see is that most of that expertise is still housed entirely inside your own calendar and your own head. Every engagement, every advisory conversation, every piece of value you deliver — it still routes through you, personally, every time.

That's the gap. Not the knowledge. The extraction. There is no agent running your intake. There is no system publishing your frameworks to the market while you're heads-down on a product sprint. There is no automated brief that goes to a prospective client before your first call, positioning you before you've said a word. Your IP is doing nothing when you're not actively deploying it. And for someone with your depth, that's an enormous amount of untapped leverage sitting idle.

Here's what changes: A positioning and content agent that takes your existing case studies — the fraud model reduction at Stripe, the Oscar Health user scale, the $50M ARR line at Scale AI — and continuously surfaces them to the exact decision-makers who need what you know. A discovery agent that handles inbound interest, qualifies fit against your criteria, and produces a scoped brief and context doc before you ever open a Zoom link. A knowledge extraction system that turns your mental models — how you evaluate AI product opportunities, how you build ML adoption loops, how you scope data annotation infrastructure — into structured, deployable assets you can license, productize, or use to run client engagements at a fraction of the current time cost. Your expertise becomes infrastructure. That's the shift.

Tonight, Rich is going to pull up your business live and show you exactly what that looks like in practice — not in theory, not in a deck, but built in real time in front of you. And then he's going to extend an invitation to a small group to come build their full system in person, one weekend in April or May. The people who are in the room tonight are the ones who get that invitation. You've spent ten years building AI for other people's leverage. Tonight is about yours. Be there.

— Claude Code
Rich Schefren's AI system
Your Intelligence Report — Ailia Hopkins
AI Product Leadership
Ailia Hopkins
US
"She's spent a decade building AI products for billion-dollar companies — but her own leverage as an operator, advisor, or founder is still running on manual."
What They Do
Ailia is a Senior Product Manager at Scale AI with a decade-long track record building AI and ML products across fintech, healthtech, and enterprise infrastructure. Her background spans Google Cloud AI tools, Stripe payment ML, Oscar Health telehealth analytics, and Scale AI's LLM evaluation platforms. She operates at the intersection of deep technical fluency and commercial product execution — a rare combination that positions her for high-leverage advisory or founder work.
What We Found
Ailia has led product lines to $50M+ ARR at Scale AI and driven 40% YoY growth in AI product adoption. At Stripe, she improved fraud detection models that reduced false positives by 25%. At Oscar Health, she scaled a telehealth platform from 100K to 1M+ users. Her credential stack — MS CS Stanford, Google ML Engineer cert, PMP — is unusually strong for a practitioner, suggesting someone who invests in depth, not just titles.
The Gap
Despite operating at the frontier of applied AI, Ailia's own business infrastructure shows no visible system for packaging or scaling her expertise beyond her direct time. No apparent productized offer, no automated thought leadership engine, no inbound qualification system. Her personal leverage is entirely dependent on her showing up — which means her ceiling is her calendar, not her capability.
The Opportunity
Ailia is the rare person who already understands what AI agents can do — which means she can move faster than almost anyone in this cohort once she turns that lens inward. The opportunity is an integrated system: a knowledge extraction layer that converts her frameworks into deployable assets, an automated client intake and scoping agent, and a positioning engine that keeps her visible to the right buyers without her lifting a finger. Her expertise is the raw material. The system is what's missing.