Better Thinking: AI Edition
The AI Edition applies Better Thinking through the lens of artificial intelligence.
Rather than teaching specific AI tools, it explores how AI changes the way we think, decide and make.
AI removes much of the friction from making. It allows us to generate more possibilities, more quickly and with fewer barriers. But just because we can make almost anything does not mean we should.
Without clarity, AI can produce more confusion, more distraction and more noise.
The danger is not simply that AI sometimes gets things wrong. It is that we begin handing over the act of figuring things out, along with the trial, memory, confidence and judgement that develop when we think for ourselves.
Used well, AI reduces friction and helps us think. Used badly, it can make us dependent on outputs we no longer understand well enough to question or challenge.
The aim is to use AI as a partner while keeping human judgement firmly in the lead.
You guide it. You define the challenge, set the direction, provide the context, question its outputs and decide what has value. Responsibility for what moves forward remains human.
Each Lab is adapted with AI-specific examples, practical exercises and organisational challenges.
Six guiding principles
The six principles define how participants work with AI throughout the programme. They are not separate steps or workshops. They provide a consistent way of approaching AI, regardless of the tool, task or organisational context.
1. Substance over quantity
AI makes it easy to produce more. The objective is not greater volume, but work with greater relevance, meaning and value.
More output does not guarantee better outcomes.
2. AI as a partner that you guide
AI can explore, organise, question and generate possibilities, but you provide the direction.
You define the challenge, establish the context, guide the process and decide what has value. AI supports the thinking. It does not take ownership of it.
3. Clarity before generation
Speed is not the goal. Direction is.
AI encourages us to move quickly, but better outcomes often require us to slow down, define the challenge and decide what matters before generating anything.
Clarity about the objective, audience, context and intended outcome prevents greater output from becoming greater noise. The faster the tool, the more deliberate the thinking must be.
4. Trust, question and verify
AI can sound confident, coherent and authoritative. That can make us assume it is smarter, knows better or understands the situation more fully than we do.
But fluency is not the same as truth, and confidence is not evidence.
Apply healthy scepticism. Question its assumptions, challenge its answers, verify what matters and trust your instincts when something does not feel right.
The aim is not to distrust AI. It is to know when to trust it, when to question it and when human experience and judgement must take the lead.
5. Human responsibility remains essential
AI can inform a decision, but it cannot carry responsibility for its consequences.
People remain accountable for what they accept, reject, develop and ultimately choose to make.
6. Make the tool your own
AI should not flatten your thinking into something generic.
Adapt it to who you are, how you think and what you value. Like a pen, it becomes an expression of the person guiding it.
Its value depends not only on what it can produce, but on the perspective, intention and judgement behind it.
Prompting with purpose
A prompt is a brief, not a button.
The quality of an AI output begins with the quality of the thinking behind the input. A prompt gives AI direction, context and criteria, but it cannot compensate for an unclear objective.
Participants learn to:
Define what they are trying to achieve before prompting.
Provide relevant context, audience and constraints.
Explain what a successful response should accomplish.
Ask AI to question assumptions and identify missing information.
Treat prompting as a conversation rather than a one-off instruction.
Refine the input as understanding develops.
Compare possibilities rather than accept the first response.
Judge the output against the original purpose and brief.
Better input creates better possibilities. Human judgement still determines whether the output has value.
Applying the principles through Better Thinking
The seven Better Thinking Labs put these guiding principles into practice.
Each Lab applies them to a different stage of thinking, from opening the mind and creating clarity to finding truth, seeing potential, building belief, exercising judgement and making responsibly.
Opening the Mind
Question assumptions about AI and remain curious without handing over the act of thinking.
Creating Clarity
Define the challenge, purpose and context before asking AI to generate anything, preventing more output from becoming more noise.
Finding Truth
Apply healthy scepticism, verify what matters and recognise that fluency and confidence are not evidence.
Seeing Potential
Use AI as a partner to explore different perspectives and possibilities while continuing to guide where the thinking goes.
Building Belief
Distinguish generated output from a meaningful idea, then use human understanding, emotion and narrative to create something people can believe in.
Exercising Judgement
Evaluate possibilities against the brief, question what does not feel right and decide what deserves to move forward.
Better Making
Use AI to remove friction while maintaining the integrity of the idea and human ownership, responsibility and accountability for what gets made.
How the programme works
The AI Edition can be delivered as an individual workshop, a selection of Labs or a progressive programme.
Each programme is adapted around the participants, their experience with AI, the organisational context and the challenges or opportunities they are navigating.
Duration
Half-day, full-day or progressive series
Delivery
In person or online
Programme options
Individual Lab, selected Labs or complete programme
Better Thinking: AI Edition
The AI Edition applies Better Thinking through the lens of artificial intelligence.
Rather than teaching specific AI tools, it explores how AI changes the way we think, decide and make.
AI removes much of the friction from making. It allows us to generate more possibilities, more quickly and with fewer barriers. But just because we can make almost anything does not mean we should.
Without clarity, AI can produce more confusion, more distraction and more noise.
The danger is not simply that AI sometimes gets things wrong. It is that we begin handing over the act of figuring things out, along with the trial, memory, confidence and judgement that develop when we think for ourselves.
Used well, AI reduces friction and helps us think. Used badly, it can make us dependent on outputs we no longer understand well enough to question or challenge.
The aim is to use AI as a partner while keeping human judgement firmly in the lead.
You guide it. You define the challenge, set the direction, provide the context, question its outputs and decide what has value. Responsibility for what moves forward remains human.
Each Lab is adapted with AI-specific examples, practical exercises and organisational challenges.
Six guiding principles
The six principles define how participants work with AI throughout the programme. They are not separate steps or workshops. They provide a consistent way of approaching AI, regardless of the tool, task or organisational context.
1. Substance over quantity
AI makes it easy to produce more. The objective is not greater volume, but work with greater relevance, meaning and value.
More output does not guarantee better outcomes.
2. AI as a partner that you guide
AI can explore, organise, question and generate possibilities, but you provide the direction.
You define the challenge, establish the context, guide the process and decide what has value. AI supports the thinking. It does not take ownership of it.
3. Clarity before generation
Speed is not the goal. Direction is.
AI encourages us to move quickly, but better outcomes often require us to slow down, define the challenge and decide what matters before generating anything.
Clarity about the objective, audience, context and intended outcome prevents greater output from becoming greater noise. The faster the tool, the more deliberate the thinking must be.
4. Trust, question and verify
AI can sound confident, coherent and authoritative. That can make us assume it is smarter, knows better or understands the situation more fully than we do.
But fluency is not the same as truth, and confidence is not evidence.
Apply healthy scepticism. Question its assumptions, challenge its answers, verify what matters and trust your instincts when something does not feel right.
The aim is not to distrust AI. It is to know when to trust it, when to question it and when human experience and judgement must take the lead.
5. Human responsibility remains essential
AI can inform a decision, but it cannot carry responsibility for its consequences.
People remain accountable for what they accept, reject, develop and ultimately choose to make.
6. Make the tool your own
AI should not flatten your thinking into something generic.
Adapt it to who you are, how you think and what you value. Like a pen, it becomes an expression of the person guiding it.
Its value depends not only on what it can produce, but on the perspective, intention and judgement behind it.
Prompting with purpose
A prompt is a brief, not a button.
The quality of an AI output begins with the quality of the thinking behind the input. A prompt gives AI direction, context and criteria, but it cannot compensate for an unclear objective.
Participants learn to:
Define what they are trying to achieve before prompting.
Provide relevant context, audience and constraints.
Explain what a successful response should accomplish.
Ask AI to question assumptions and identify missing information.
Treat prompting as a conversation rather than a one-off instruction.
Refine the input as understanding develops.
Compare possibilities rather than accept the first response.
Judge the output against the original purpose and brief.
Better input creates better possibilities. Human judgement still determines whether the output has value.
Applying the principles through Better Thinking
The seven Better Thinking Labs put these guiding principles into practice.
Each Lab applies them to a different stage of thinking, from opening the mind and creating clarity to finding truth, seeing potential, building belief, exercising judgement and making responsibly.
Opening the Mind
Question assumptions about AI and remain curious without handing over the act of thinking.
Creating Clarity
Define the challenge, purpose and context before asking AI to generate anything, preventing more output from becoming more noise.
Finding Truth
Apply healthy scepticism, verify what matters and recognise that fluency and confidence are not evidence.
Seeing Potential
Use AI as a partner to explore different perspectives and possibilities while continuing to guide where the thinking goes.
Building Belief
Distinguish generated output from a meaningful idea, then use human understanding, emotion and narrative to create something people can believe in.
Exercising Judgement
Evaluate possibilities against the brief, question what does not feel right and decide what deserves to move forward.
Better Making
Use AI to remove friction while maintaining the integrity of the idea and human ownership, responsibility and accountability for what gets made.
How the programme works
The AI Edition can be delivered as an individual workshop, a selection of Labs or a progressive programme.
Each programme is adapted around the participants, their experience with AI, the organisational context and the challenges or opportunities they are navigating.
Duration
Half-day, full-day or progressive series
Delivery
In person or online
Programme options
Individual Lab, selected Labs or complete programme
