The methodology changing how data teams ship
Source documents to production-grade interactive applications. Not prototypes. Not demos. Deployed tools running real computation, real data, real inference. Built in days, not quarters.
Workshop dates announced once Posit infrastructure is live. Members get first access.
The RAP Framework
A repeatable architecture for turning domain expertise and source documents into deployed interactive applications using Claude Code.
Feed source documents, research papers, rulebooks, and datasets to Claude Code. It parses structure, identifies computational primitives, and surfaces the data model.
Build the engine. Stan models, ODE solvers, Monte Carlo simulations, plumber APIs. Claude Code writes the computation layer while you validate against published data.
Transform computation into interactive D3.js visualizations. Force layouts, animated transitions, responsive SVG. Design systems that look like they were built by a team.
Deploy to Posit Connect. Custom domains, authentication, monitoring. Hand a live URL to your employer, your client, or a front office. It runs. It scales.
Members save 20% on all workshops and get first access to cohort dates.
Explore MembershipBuilt with this methodology
Every one of these started as PDFs and a Claude Code session. No React. No build step. Real domain logic running in the browser.
Interactive scouting language model. Natural language player evaluations grounded in Statcast data.
Big Data Cup tracking data. Interactive D3 game timeline with real-time fatigue monitoring.
OAA leaderboard data driving defensive shift cards. Agentic LLM generates scouting narratives.
The Production Stack
Not toy tools. The same infrastructure used by MLB front offices, pharma R&D teams, and Fortune 500 data orgs.
Agentic coding from the terminal. File creation, editing, git, deployment. Claude writes production code while you steer with domain knowledge.
Force-directed layouts, animated transitions, interactive drill-downs. Pixel-perfect responsive graphics that run anywhere with zero dependencies.
Physics-constrained priors, hierarchical models, MCMC diagnostics. The statistical backbone behind every serious analytical tool.
Expose R and Python computation as REST endpoints. Frontend calls backend. Backend runs the model. Clean separation of concerns.
One-click deployment. Custom domains, authentication, usage monitoring, scheduled reports. Enterprise-grade hosting for data products.
Runge-Kutta integration, elastic collisions, Monte Carlo uncertainty. When the domain has physics, the app has physics.
Your Instructor
Seven years in MLB front offices across three organizations. Lead QA, Principal QA, and Special Assistant roles building the analytical infrastructure that directly informed roster construction and player evaluation decisions at the Philadelphia Phillies, Detroit Tigers, and Miami Marlins.
PhD in Statistics with a specialization in Wind Engineering from Iowa State University. NSF IGERT Fellow. Research at the intersection of probabilistic modeling, physical systems, and real-time decision-making.
Founder and President of AthlyticZ. Official Posit Partner. Advisory board member at Boston College and Lasell University. Teaching data science, Bayesian modeling, and application development across 15+ countries.
Workshop dates announced once Posit infrastructure is live. Book a discovery call to discuss cohorts, team training, or custom engagements. Members get first access and 20% off.
Expanding under our Posit partnership. Members get first access + 20% off all workshops.