Patterns proven in production, not on slides
Every methodology I bring into a client engagement has already been pressure-tested in a system I personally architect, build, and operate.
The Lab
My applied AI lab, and why every engagement starts with proof you can see.
I run an applied AI lab - CriticalThink HR and SpectraCastr - as the proving ground for the AI-native build patterns I deploy for clients. SCMS 2.0 is the adjacent client-owned proof that those patterns transfer into document-intensive enterprise work.
Lab patterns, client-owned proof
CriticalThink HR and SpectraCastr prove the lab patterns. SCMS 2.0 proves those patterns transfer into a client-owned enterprise environment.
Document intelligence at scale
SCMS 2.0 ingests contract documents in batch, including addendums and amendments, then turns AI-assisted analysis into structured data for search, queries, reporting, and negotiation support.
Where the 50% cost reduction came from
Batch-processing optimization, multi-provider model selection, and AI-Agent build direction all live inside the lab and inside the toolkit you get when you engage me.
The lab platforms
CriticalThink HR
A production AI-native HR-certification platform that turns expert judgment and situational reasoning into a structured learning and readiness system.
SpectraCastr
A media-intelligence platform that extends the same AI-native build patterns into content analysis, production workflows, and multi-modal asset generation.
Client-owned proof
SCMS 2.0: document intelligence at scale
SCMS 2.0 at WME / Endeavor processes contracts, addendums, and amendments in batch, uses AI-assisted analysis to extract contract intelligence, and turns that output into a structured data repository that can be searched, queried, reported on, and used to support better contract negotiations.
- Batch ingestion of contract documents, addendums, and amendments
- AI-assisted extraction into a structured contract repository
- Search and query workflows across agreements, seasons, schools, and compensation terms
- Reporting that supports comparison, negotiation preparation, and long-term analysis
The important signal is not the stack, though SCMS 2.0 runs on C# / Blazor / .NET Core 8 / Vertex AI / Document AI. The signal is the pattern: turn unstructured, document-heavy expert work into a reliable operational data layer.
Proof bench, not business model.
Client engagements come first, full stop. The lab's job is to keep the methodology sharp and the production patterns current, so the client work compounds from engagement to engagement instead of resetting. The CTA on every lab surface is Start a Conversation, never Visit the Product.
Most architects show you a portfolio. I show you two production platforms I built and operate myself, so you know exactly what you're hiring before we sign.
Want to see the lab in action?
During a discovery conversation I can walk you through the live systems and the build patterns that came out of them.
Start a Conversation