Lab
Experiments
Small builds and ideas I use to test what is useful.
Lab overview
I like testing ideas by building small versions first. Some of these are ML prototypes. Some are workflow ideas. The goal is to learn what is actually useful before making it bigger.
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Featured
Featured: GenAI Workflow Assistant
A simple assistant for operations tickets. It reads the ticket, finds context, and drafts the next step. The main question is whether it saves real time, not whether it sounds impressive.
Catalog
Procurement Cost Forecaster
Forecast SKU-level costs early enough for teams to plan purchases better.
Outcome: Pilot result: unexpected variance down 22%.
Care Pathway Risk Scorer
Rank high-risk cases so teams know where to look first.
Outcome: Prototype result: Precision@k improved 9 points over baseline.
GenAI Workflow Assistant
Summarize tickets, pull context, and draft next steps for operations teams.
Outcome: Trial result: average handle time down 31%.
Learning Analytics Signals
Use LMS activity to catch engagement drops earlier.
Outcome: Prototype result: early-warning precision up 18%.
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