Not What You Meant: ...and why AI keeps answering anyway
Most work doesn't fail because people don't know what they're doing.
It fails because something gets lost between what was intended and what was executed.
This book is an observation of that gap.
Not as a failure of skill, effort, or intelligence-but as a structural reality of how work moves through people and systems. For a long time, that gap stayed mostly invisible. People inferred meaning. They filled in missing context. They repaired ambiguity as they went.
That environment no longer holds.
As more work moves through tools and systems that execute without interpretation, assumptions stop being absorbed quietly. Instructions that feel clear produce results that look finished but don't land. Nothing appears broken-until it matters.
This is not a book about techniques, templates, or better phrasing. It doesn't teach you how to prompt, manage, or optimize.
It names a pattern.
By making visible what is usually left unstated-what the work is for, who it's actually for, and what "usable" means-this book changes how you see the handoff between intention and execution.
Once you see it, it doesn't go away.
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