DAILY RECORD / MARCH 2026
March’s lesson
Retrospective AI note: March’s lesson.
The long-term view
Retrospective AI note: The long-term view.
The architecture of trust
Retrospective AI note: The architecture of trust.
Better questions than answers
Retrospective AI note: Better questions than answers.
The importance of humility
Retrospective AI note: The importance of humility.
Learning in public, working in reality
Retrospective AI note: Learning in public, working in reality.
The professional meaning of AI
Retrospective AI note: The professional meaning of AI.
The new evidence standard
Retrospective AI note: The new evidence standard.
The limits of a benchmark
Retrospective AI note: The limits of a benchmark.
A personal standard at work
Retrospective AI note: A personal standard at work.
The compounding effect of context
Retrospective AI note: The compounding effect of context.
More than operational efficiency
Retrospective AI note: More than operational efficiency.
The interface of responsibility
Retrospective AI note: The interface of responsibility.
The value of internal critics
Retrospective AI note: The value of internal critics.
The organisation learns slowly
Retrospective AI note: The organisation learns slowly.
The importance of adoption
Retrospective AI note: The importance of adoption.
The operator’s perspective
Retrospective AI note: The operator’s perspective.
A different standard for value
Retrospective AI note: A different standard for value.
The right kind of ambition
Retrospective AI note: The right kind of ambition.
The discipline of prioritisation
Retrospective AI note: The discipline of prioritisation.
Small teams, wider scope
Retrospective AI note: Small teams, wider scope.
The system behind the demo
Retrospective AI note: The system behind the demo.
The work of translation
Retrospective AI note: The work of translation.
Better than a prediction
Retrospective AI note: Better than a prediction.
The cost of unreliable context
Retrospective AI note: The cost of unreliable context.
Infrastructure becomes visible
Retrospective AI note: Infrastructure becomes visible.
The investor’s question
Retrospective AI note: The investor’s question.
The value of proximity
Retrospective AI note: The value of proximity.
The distance between theory and work
Retrospective AI note: The distance between theory and work.
A new professional vantage point
Retrospective AI note: A new professional vantage point.
Work becomes concrete
Retrospective AI note: Work becomes concrete.