Notes on scheduling at scale.
Why coordination quietly breaks as teams grow — and what it takes to solve the math underneath.
Field notes on scheduling, optimization, and why coordination breaks as teams scale.
Beyond Free vs. Busy: The math behind real-world scheduling
Free vs. busy is a lie. Real scheduling runs on a matrix of hard constraints and soft preferences — here's how a constraint solver untangles them.
Read more →Is Mathematical Optimization "AI"? (And Why That's the Wrong Question)
Every product with an autocomplete API calls itself "AI." Does a scheduling optimization engine qualify? Yes — but that's the wrong question.
Read more →The 10-Person Illusion: Why Scheduling Breaks When You Try to Scale It
At five to ten people, scheduling looks solved. At fifty, it hits a brick wall — because scheduling isn't linear arithmetic, it's combinatorial explosion.
Read more →An ongoing series — each entry takes one real scheduling problem and works it end to end.
Six Candidates, Three Pairs, One Unwatched Interview
An AI interview pilot runs six sessions at once. Seven observers look like plenty until three pairs meet four new scenarios, and one goes unwatched.
Read more →When Tuesday Night Has No Doctor
A six-physician emergency department loses one doctor for a week. Twenty possible fixes collapse to four, and Tuesday night has no legal answer.
Read more →Outgrown the spreadsheet?
If scheduling has become a full-time coordination problem, we should talk.