Working prototypes built around business decisions.
You can view my approach to AI strategy and decision making on the My Approach page. Each project applies part of that approach and explains how the concept works, what decisions shaped it, how it could support a business, and where its current limits remain.
Featured projects
Workflow Assessment Tool
Live or simulated
A focused LLM can turn a vague workflow description into a structured review of its tasks, bottlenecks, decisions, risks, and opportunities.
View →
Market Expansion Prioritizer
Deterministic, synthetic data
AI predictions are rarely certain. Weighting them by what matters most to the business turns a forecast into a ranked, defensible decision.
View →
Customer Escalation Triage
Live or simulated
Confidence and the cost of being wrong, not the severity label alone, should decide how much of a decision gets automated.
View →
Data as Fuel for AI
Client-side, browser-trained
A model's output quality is bounded by how much data and training time actually went into it, not by how confident it looks.
View →
Model Drift Monitor
Deterministic, synthetic data
A model that worked at launch can quietly become unreliable as its environment changes, and when to retrain is a business decision, not a technical afterthought.
View →
Visual Quality Control
Deterministic, synthetic data
Finding a defect is only the first step because the business still has to decide whether the unit ships, goes back for rework, or needs a person to inspect it.
View →
Adaptive Personalization with AI
Interactive replica
This project makes the click, store, rank, and adapt loop behind AI personalization visible at a smaller scale.
View →