A practical book to help teams and makers turn vague AI ideas into clarity, direction and small testable steps - with frameworks like the AI Intent Canvas, Validation Compass and 30-day loops.
How people make decisions about AI under uncertainty. The book focuses on clarity, intent and measurable value - not on hype or predictions.
A structured way to clarify the six essential fields of any AI idea: problem, target audience, value, the role of AI, success criteria and constraints.
A tool to test the strength of an idea with data, feeling and context. Helps teams decide what to test next - and what to ignore.
A practical approach to building AI prototypes that are small enough to learn from, and structured enough to scale.
A clear, visual explanation of what makes an AI idea viable, valuable and testable.
The ideas in this book come back in various ways in the Creative Lab. Some tools are direct implementations of Intent thinking, others are more neutral utilities.
The core framework in this book. It helps you clarify problem, target audience, value, the role of AI, success criteria and constraints before you build anything.
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