DAILY RECORD / JUNE 2026
June’s lesson
Retrospective AI note: June’s lesson.
The new cost of inaction
Retrospective AI note: The new cost of inaction.
More capability, higher expectations
Retrospective AI note: More capability, higher expectations.
Performance per dollar
Retrospective AI note: Performance per dollar.
GPT‑5.6 enters preview
Retrospective AI note: GPT‑5.6 enters preview.
The professional meaning of caution
Retrospective AI note: The professional meaning of caution.
The importance of limited release
Retrospective AI note: The importance of limited release.
The dual-use problem
Retrospective AI note: The dual-use problem.
Security becomes operational
Retrospective AI note: Security becomes operational.
The value of clear ownership
Retrospective AI note: The value of clear ownership.
The human signature at work
Retrospective AI note: The human signature at work.
What experience means now
Retrospective AI note: What experience means now.
The new apprenticeship
Retrospective AI note: The new apprenticeship.
A system should teach
Retrospective AI note: A system should teach.
The need for perspective
Retrospective AI note: The need for perspective.
A habit of reflection
Retrospective AI note: A habit of reflection.
The professional archive
Retrospective AI note: The professional archive.
The limits of retrieval
Retrospective AI note: The limits of retrieval.
The value of tacit knowledge
Retrospective AI note: The value of tacit knowledge.
The organisational version
Retrospective AI note: The organisational version.
The question of long-term agency
Retrospective AI note: The question of long-term agency.
Better than personalisation
Retrospective AI note: Better than personalisation.
The role of correction
Retrospective AI note: The role of correction.
The danger of stale context
Retrospective AI note: The danger of stale context.
A personal knowledge system
Retrospective AI note: A personal knowledge system.
The ethics of remembering
Retrospective AI note: The ethics of remembering.
Memory becomes a product problem
Retrospective AI note: Memory becomes a product problem.
Continuity and control
Retrospective AI note: Continuity and control.
The right to context
Retrospective AI note: The right to context.
Memory as a relationship
Retrospective AI note: Memory as a relationship.