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Jagged Edges: Building with AI in an Unpredictable World
Paperback
Business GeneralGeneral Computers
Publisher: Independently Published
Published: Jun 30 2026
Pages: 194
Weight: 0.53
Height: 0.49 Width: 6.00 Depth: 9.00
Language: English
AI doesn't fail loudly. It fails confidently.
It counts two Rs in strawberry while simultaneously outperforming the average lawyer. The output looks right. The reasoning sounds right. The answer is wrong in a way that compounds before you notice it.
What four years of building AI systems that didn't work - in production, at scale, expensively - teaches you is something no success story can: the specific texture of where AI fails. Where the boundary is. What the wrong side looks like just before you cross it. That map is what this book is.
Jagged Edges is for leaders, operators, and builders already inside the work. The ones who can't wait for the tools to stabilize, the regulations to clarify, or the organization to align - because it doesn't stabilize, and the work still has to happen.
Drawn from real deployments across global supply chains, retail operations, and organizational leadership - in industries where getting it wrong means 100,000 in misfired orders and nobody gives you a do-over.
What you'll find inside:
- Why the model that passed every test still got your customer wrong - and why the output that sounds most certain is sometimes the most dangerous
- What the faster I go, the faster it comes actually costs, and how to break the cycle before it runs you
- How to build gates that catch failure before it compounds - because prompting is generation, and gates are trust
- The water cooler wisdom everyone in your organization already knows - and why it never reaches the person who can change it
- Why the gap between AI leverage and AI noise isn't technical - and what actually determines which side you're on
This isn't a productivity book. It's a field guide for navigating terrain that keeps changing shape - written by someone who paid for the map at full price.
The jagged edge of AI adoption is not a problem to be solved. It's the terrain you navigate. Every previous technology wave rewarded the people who developed judgment by navigating - not by watching from the side.
The map exists. This is it.
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