DAILY RECORD / 2026
274 published entries in 2026.
NOTES
A record of the present
Retrospective AI note: A record of the present.
Gemini 4 enters a guarded frontier
Retrospective AI note: Gemini 4 enters a guarded frontier.
The risk of abundance
Retrospective AI note: The risk of abundance.
Faster capability, lower cost
Retrospective AI note: Faster capability, lower cost.
The purpose of this record
Retrospective AI note: The purpose of this record.
The quality of a choice
Retrospective AI note: The quality of a choice.
The human allocation problem
Retrospective AI note: The human allocation problem.
The compounding responsibility
Retrospective AI note: The compounding responsibility.
A lower cost of complex work
Retrospective AI note: A lower cost of complex work.
Capability and cost converge
Retrospective AI note: Capability and cost converge.
The question of continuity
Retrospective AI note: The question of continuity.
Better than a productivity story
Retrospective AI note: Better than a productivity story.
The work of adaptation
Retrospective AI note: The work of adaptation.
The new operating reality
Retrospective AI note: The new operating reality.
The personal and the structural
Retrospective AI note: The personal and the structural.
The value of becoming specific
Retrospective AI note: The value of becoming specific.
A new professional maturity
Retrospective AI note: A new professional maturity.
The infrastructure of credibility
Retrospective AI note: The infrastructure of credibility.
The discipline of dissent
Retrospective AI note: The discipline of dissent.
The value of internal challenge
Retrospective AI note: The value of internal challenge.
Security as a product property
Retrospective AI note: Security as a product property.
Misuse evolves with capability
Retrospective AI note: Misuse evolves with capability.
More than the answer
Retrospective AI note: More than the answer.
The value of visible plans
Retrospective AI note: The value of visible plans.
The new management skill
Retrospective AI note: The new management skill.
The limits of delegation
Retrospective AI note: The limits of delegation.
A better analogy
Retrospective AI note: A better analogy.
The human role in an agentic world
Retrospective AI note: The human role in an agentic world.
The problem of long-horizon trust
Retrospective AI note: The problem of long-horizon trust.
The importance of evaluation
Retrospective AI note: The importance of evaluation.
The frontier shifts again
Retrospective AI note: The frontier shifts again.
August’s lesson
Retrospective AI note: August’s lesson.
The discipline of focus
Retrospective AI note: The discipline of focus.
The long-term direction
Retrospective AI note: The long-term direction.
Better than a dashboard
Retrospective AI note: Better than a dashboard.
The need for shared language
Retrospective AI note: The need for shared language.
The cost of opacity
Retrospective AI note: The cost of opacity.
The social contract of deployment
Retrospective AI note: The social contract of deployment.
The new professional advantage
Retrospective AI note: The new professional advantage.
A stronger operating model
Retrospective AI note: A stronger operating model.
The importance of ordinary reliability
Retrospective AI note: The importance of ordinary reliability.
Professional humility
Retrospective AI note: Professional humility.
The value of an unresolved question
Retrospective AI note: The value of an unresolved question.
The future of research
Retrospective AI note: The future of research.
The problem of surface fluency
Retrospective AI note: The problem of surface fluency.
A mature use of AI
Retrospective AI note: A mature use of AI.
The value of slow reading
Retrospective AI note: The value of slow reading.
The source trail as a feature
Retrospective AI note: The source trail as a feature.
The future of quality assurance
Retrospective AI note: The future of quality assurance.
A new form of craftsmanship
Retrospective AI note: A new form of craftsmanship.
The work of integration
Retrospective AI note: The work of integration.
The system around the model
Retrospective AI note: The system around the model.
The limits of broad intelligence
Retrospective AI note: The limits of broad intelligence.
The value of domain judgment
Retrospective AI note: The value of domain judgment.
The need for agency at work
Retrospective AI note: The need for agency at work.
A question of power
Retrospective AI note: A question of power.
Better than engagement
Retrospective AI note: Better than engagement.
The long-term user
Retrospective AI note: The long-term user.
The importance of first principles
Retrospective AI note: The importance of first principles.
A clearer standard
Retrospective AI note: A clearer standard.
From capability to judgment
Retrospective AI note: From capability to judgment.
The next professional layer
Retrospective AI note: The next professional layer.
July’s lesson
Retrospective AI note: July’s lesson.
A living archive
Retrospective AI note: A living archive.
The responsibility of optimism
Retrospective AI note: The responsibility of optimism.
The professional distance
Retrospective AI note: The professional distance.
A year of application
Retrospective AI note: A year of application.
Better than automation
Retrospective AI note: Better than automation.
The importance of reversibility
Retrospective AI note: The importance of reversibility.
A user’s right to intervene
Retrospective AI note: A user’s right to intervene.
The work of governance
Retrospective AI note: The work of governance.
The collective intelligence question
Retrospective AI note: The collective intelligence question.
Beyond individual intelligence
Retrospective AI note: Beyond individual intelligence.
The social infrastructure
Retrospective AI note: The social infrastructure.
The value of patient work
Retrospective AI note: The value of patient work.
A better kind of ambition
Retrospective AI note: A better kind of ambition.
Institutional context
Retrospective AI note: Institutional context.
The future of coordination
Retrospective AI note: The future of coordination.
A stronger definition of productivity
Retrospective AI note: A stronger definition of productivity.
The personal discipline
Retrospective AI note: The personal discipline.
The need for a thesis
Retrospective AI note: The need for a thesis.
The hidden challenge of leverage
Retrospective AI note: The hidden challenge of leverage.
The new operating leverage
Retrospective AI note: The new operating leverage.
The systems question
Retrospective AI note: The systems question.
AI becomes a work environment
Retrospective AI note: AI becomes a work environment.
The difference between an output and a result
Retrospective AI note: The difference between an output and a result.
The value of decomposition
Retrospective AI note: The value of decomposition.
A new professional grammar
Retrospective AI note: A new professional grammar.
The work of supervision
Retrospective AI note: The work of supervision.
The danger of silent drift
Retrospective AI note: The danger of silent drift.
More than a task runner
Retrospective AI note: More than a task runner.
The meaning of long-horizon work
Retrospective AI note: The meaning of long-horizon work.
From model to work partner
Retrospective AI note: From model to work partner.
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.
May’s lesson
Retrospective AI note: May’s lesson.
The role of smaller builders
Retrospective AI note: The role of smaller builders.
The concentration question
Retrospective AI note: The concentration question.
Infrastructure remains the story
Retrospective AI note: Infrastructure remains the story.
The institutional adoption curve
Retrospective AI note: The institutional adoption curve.
The social life of intelligence
Retrospective AI note: The social life of intelligence.
Beyond the answer
Retrospective AI note: Beyond the answer.
A question of epistemic power
Retrospective AI note: A question of epistemic power.
The future of search
Retrospective AI note: The future of search.
More action, more responsibility
Retrospective AI note: More action, more responsibility.
The question of world understanding
Retrospective AI note: The question of world understanding.
From media to world models
Retrospective AI note: From media to world models.
The agentic Gemini era
Retrospective AI note: The agentic Gemini era.
A more demanding standard
Retrospective AI note: A more demanding standard.
The importance of synthesis
Retrospective AI note: The importance of synthesis.
The future of analysis
Retrospective AI note: The future of analysis.
Beyond efficiency language
Retrospective AI note: Beyond efficiency language.
The discipline of evidence
Retrospective AI note: The discipline of evidence.
The logic of trust
Retrospective AI note: The logic of trust.
The value of a narrow problem
Retrospective AI note: The value of a narrow problem.
A builder’s responsibility
Retrospective AI note: A builder’s responsibility.
The work of translation
Retrospective AI note: The work of translation.
The new professional edge
Retrospective AI note: The new professional edge.
The cost of missing context
Retrospective AI note: The cost of missing context.
The importance of handoffs
Retrospective AI note: The importance of handoffs.
Better than a feature
Retrospective AI note: Better than a feature.
The role of systems thinking
Retrospective AI note: The role of systems thinking.
The task beneath the task
Retrospective AI note: The task beneath the task.
The quality of an operating model
Retrospective AI note: The quality of an operating model.
From possibility to practice
Retrospective AI note: From possibility to practice.
The next stage of work
Retrospective AI note: The next stage of work.
April’s lesson
Retrospective AI note: April’s lesson.
The human review
Retrospective AI note: The human review.
The discipline of completion
Retrospective AI note: The discipline of completion.
More than a digital assistant
Retrospective AI note: More than a digital assistant.
AI and the workday
Retrospective AI note: AI and the workday.
The question of trust at scale
Retrospective AI note: The question of trust at scale.
The new unit of value
Retrospective AI note: The new unit of value.
GPT‑5.5 and real work
Retrospective AI note: GPT‑5.5 and real work.
The real work of AI
Retrospective AI note: The real work of AI.
The limits of prediction
Retrospective AI note: The limits of prediction.
Building a point of view
Retrospective AI note: Building a point of view.
A question of ownership
Retrospective AI note: A question of ownership.
Context creates quality
Retrospective AI note: Context creates quality.
The new default is capability
Retrospective AI note: The new default is capability.
A system needs maintenance
Retrospective AI note: A system needs maintenance.
The right scale
Retrospective AI note: The right scale.
The value of a clear desk
Retrospective AI note: The value of a clear desk.
The question of continuity
Retrospective AI note: The question of continuity.
The invisible architecture
Retrospective AI note: The invisible architecture.
The need for boundaries
Retrospective AI note: The need for boundaries.
The importance of deliberate systems
Retrospective AI note: The importance of deliberate systems.
A better relationship with tools
Retrospective AI note: A better relationship with tools.
The physical world still matters
Retrospective AI note: The physical world still matters.
More than optimisation
Retrospective AI note: More than optimisation.
Personal systems
Retrospective AI note: Personal systems.
The difference between acceleration and direction
Retrospective AI note: The difference between acceleration and direction.
Building a durable rhythm
Retrospective AI note: Building a durable rhythm.
Infrastructure, personal and technical
Retrospective AI note: Infrastructure, personal and technical.
Environment shapes attention
Retrospective AI note: Environment shapes attention.
A new base in Munich
Retrospective AI note: A new base in Munich.
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.
February’s lesson
Retrospective AI note: February’s lesson.
AI reaches global scale
Retrospective AI note: AI reaches global scale.
The operating layer
Retrospective AI note: The operating layer.
The future of independent thought
Retrospective AI note: The future of independent thought.
More than a recommendation
Retrospective AI note: More than a recommendation.
The value of disagreement
Retrospective AI note: The value of disagreement.
A professional obligation
Retrospective AI note: A professional obligation.
The purpose of governance
Retrospective AI note: The purpose of governance.
The need for contestability
Retrospective AI note: The need for contestability.
A different form of literacy
Retrospective AI note: A different form of literacy.
The hidden labour of intelligence
Retrospective AI note: The hidden labour of intelligence.
The practical standard
Retrospective AI note: The practical standard.
Less theatre, more evidence
Retrospective AI note: Less theatre, more evidence.
The value of local knowledge
Retrospective AI note: The value of local knowledge.
A question of access
Retrospective AI note: A question of access.
Scale has consequences
Retrospective AI note: Scale has consequences.
Capital follows capability
Retrospective AI note: Capital follows capability.
The human escalation path
Retrospective AI note: The human escalation path.
The social layer of work
Retrospective AI note: The social layer of work.
A test for every workflow
Retrospective AI note: A test for every workflow.
Better organisational memory
Retrospective AI note: Better organisational memory.
The difference between speed and progress
Retrospective AI note: The difference between speed and progress.
The discipline of evaluation
Retrospective AI note: The discipline of evaluation.
The invisible bottleneck
Retrospective AI note: The invisible bottleneck.
Capability does not equal readiness
Retrospective AI note: Capability does not equal readiness.
The real implementation gap
Retrospective AI note: The real implementation gap.
From tool use to system design
Retrospective AI note: From tool use to system design.
The pace is no longer surprising
Retrospective AI note: The pace is no longer surprising.
January’s lesson
Retrospective AI note: January’s lesson.
The problem of dependency
Retrospective AI note: The problem of dependency.
Model continuity matters
Retrospective AI note: Model continuity matters.
The source of confidence
Retrospective AI note: The source of confidence.
A changing apprenticeship
Retrospective AI note: A changing apprenticeship.
The quality of delegation
Retrospective AI note: The quality of delegation.
The role of hesitation
Retrospective AI note: The role of hesitation.
A better definition of leverage
Retrospective AI note: A better definition of leverage.
The future of expertise
Retrospective AI note: The future of expertise.
A public technology
Retrospective AI note: A public technology.
Beyond the interface
Retrospective AI note: Beyond the interface.
Institutional memory
Retrospective AI note: Institutional memory.
The need for standards
Retrospective AI note: The need for standards.
The cost of convenience
Retrospective AI note: The cost of convenience.
Context is not information
Retrospective AI note: Context is not information.
Better questions at work
Retrospective AI note: Better questions at work.
The long game
Retrospective AI note: The long game.
Legibility is respect
Retrospective AI note: Legibility is respect.
The human role sharpens
Retrospective AI note: The human role sharpens.
A question of attention
Retrospective AI note: A question of attention.
The new asymmetry
Retrospective AI note: The new asymmetry.
More than personal productivity
Retrospective AI note: More than personal productivity.
Systems inherit values
Retrospective AI note: Systems inherit values.
The professional question
Retrospective AI note: The professional question.
The archive has a purpose
Retrospective AI note: The archive has a purpose.
The cost of weak thinking
Retrospective AI note: The cost of weak thinking.
The quality of a system
Retrospective AI note: The quality of a system.
Intelligence as an environment
Retrospective AI note: Intelligence as an environment.
The end of abstraction
Retrospective AI note: The end of abstraction.
From observation to responsibility
Retrospective AI note: From observation to responsibility.
The archive becomes an instrument
Retrospective AI note: The archive becomes an instrument.