Why This Page Exists
One of the easiest ways to damage a new idea is to present it as though every question has already been answered.
I don’t believe that’s intellectually honest.
Continuous Knowledge Preparation is still developing.
Some parts are well established.
Others are hypotheses.
Some ideas have changed significantly as I’ve continued exploring them.
Rather than hide that process, I’d prefer to make it visible.
If CKP is going to be useful, it should be able to withstand careful questioning.
This page exists to encourage exactly that.
What I Believe With Confidence
After years of working with writing, information systems and artificial intelligence, I have become increasingly confident about several observations.
Preparation matters more than most organisations realise.
Many failures occur before decisions are made because the knowledge required for those decisions has not been adequately prepared.
Information and knowledge are not the same thing.
Collecting information does not automatically prepare it for professional judgement.
Preparation changes usability.
Not simply quantity.
Prompting cannot compensate for poor preparation.
Good prompts are valuable.
They cannot reliably overcome incomplete, contradictory or poorly prepared knowledge.
Professional judgement remains human.
Artificial intelligence can prepare.
It can assist.
It can explain.
Responsibility for important professional decisions remains human.
What I Think Is Probably True
The following ideas are increasingly supported by my experience, but I continue to test them.
AI is exposing an older problem.
Artificial intelligence did not create poor knowledge preparation.
It simply made the consequences more obvious.
Organisations underestimate preparation.
Many organisations invest heavily in storing information.
Far fewer invest the same effort preparing it for use.
Future AI systems will depend increasingly upon prepared knowledge.
As AI becomes more capable, the quality of preparation may become more important than further improvements in the models themselves.
Questions I’m Still Exploring
Some questions remain open.
For example:
Where should preparation begin?
Should preparation occur:
when information is created?
when it changes?
when someone asks for it?
or continuously?
I don’t yet think there is one universal answer.
How much preparation is enough?
Preparing everything is unrealistic.
Preparing nothing is dangerous.
Finding the right balance remains an important question.
Can preparation itself become excessive?
Possibly.
Preparation should reduce effort.
Not become another layer of unnecessary work.
What happens when AI understands more than we do?
This has become one of the newest areas I’m exploring.
If AI begins creating systems that humans can no longer fully understand, how should professional judgement change?
I currently believe preparation becomes even more important in that world.
Whether that proves correct remains to be seen.
What Would Change My Mind?
Every useful idea should identify the evidence that could prove it wrong.
For example, I would happily revise CKP if convincing evidence showed that:
preparation adds no measurable value;
prompting consistently solves the same problems;
professional judgement improves without preparation;
organisations achieve better outcomes through fundamentally different approaches.
Changing my mind in response to good evidence would strengthen CKP.
Not weaken it.
Where CKP Builds Upon Existing Work
Continuous Knowledge Preparation does not begin with the assumption that existing disciplines have failed.
It builds upon many established ideas, including:
knowledge management;
information governance;
evidence-based practice;
records management;
decision support;
organisational learning;
information architecture;
retrieval systems;
artificial intelligence.
Its contribution, if it proves valuable, lies in bringing those concerns together around one question.
How do we prepare knowledge before somebody depends upon it?
What CKP Does Not Claim
At this stage I do not claim:
that CKP is complete;
that it is universally applicable;
that it replaces existing disciplines;
that it has solved every problem associated with AI;
that it should become a formal standard.
Those are questions for evidence.
Not aspiration.
How My Thinking Changes
I expect CKP to evolve.
When it does, I’d prefer the changes to be visible.
Ideas improve through:
experience;
criticism;
testing;
disagreement;
better evidence.
That process should remain visible rather than quietly rewriting history.
How You Can Help
If you find weaknesses in these ideas, I’d genuinely like to hear them.
Not because criticism is comfortable.
Because good criticism often improves thinking.
The aim is not to defend CKP.
The aim is to understand the problem more clearly.
Continue Exploring
If you’re interested in practical examples rather than theory, I’d recommend:
100 Questions That CKP Answers
If you’re interested in how these ideas continue developing: