Writing

AI, automation, and the work around them.

Practical essays on technology leadership, human judgment, operational reliability, and what I’m learning through The Glowing Oracle research.

Essay 01 · October 2, 2026

Where operational value comes from: outcomes, evidence, ownership, and the architecture around a model.

Essay 02 · October 2, 2026

Inside the TGO Lab’s live six-provider experiment, its repeat observations, and what the early data can establish.

Essay 03 · October 2, 2026

How retries, hidden exceptions, and recovery effort can consume the savings an automation promised.

Essay 04 · October 2, 2026

Designing review with evidence, authority, time, and a recorded decision.

Essay 05 · October 2, 2026

How leaders can detect changing AI behavior and connect monitoring to a workable response.

Essay 06 · October 2, 2026

Evaluating volume, consequence, maintenance, and simpler ways to achieve the outcome.

From the Lab

Follow the experiment as the evidence develops.

Dated reports connect fresh experimental data to operational questions. Earlier reports stay available, with review gaps and limitations visible.