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{ "item_title" : "The Auction Block", "item_author" : [" Brian Cariveau "], "item_description" : "The AI demo got applause. It also made the product worse - and cost $200,000.The new AI model scored 92% accuracy in testing. On real customers, it collapsed to 31%.And the data underneath it all? Nobody could say which of it could be trusted.That's what Sarah Chen was up against at ClassicMotors.io - a company racing toward AI on a foundation that couldn't hold its weight.Less than four years later, ClassicMotors was worth $1.2 billion.Sarah didn't get there with shinier AI or more dashboards. She got there by learning how to pay attention to the right problems - and by building a team that could keep paying attention without her.The Auction Block is a business fable in the tradition of The Phoenix Project and The Goal - a fast-paced story about what happens when a data-driven organization stops measuring everything and starts deciding something.Through Sarah's journey, you'll see: Why AI initiatives that shine in demos often fail in productionWhy your data isn't AI-ready until you can map it - and trust itHow vanity metrics quietly replace strategyHow incentives - not talent - create organizational frictionWhy having more data can be more dangerous than having too littleThe story is followed by four leadership essays: the real-world frameworks behind the fable, drawn from 25 years of building data and analytics teams.This book is for you if you: Lead analytics, data, AI, product, operations, or transformation teamsFeel pressure to go faster without fixing underlying frictionHave dashboards, OKRs, and roadmaps - but still struggle to change outcomesSuspect the problem isn't your people, but the system they're working inThe lessons in this story aren't limited to analytics teams. They're for anyone who's ever mistaken a beautiful report for a strategy - or wondered why their organization has all the tools and none of the momentum.This is a story about data in the age of AI.But at its core, it's a story about learning what deserves your attention - and acting on it.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/824/707/9798247070689_b.jpg", "price_data" : { "retail_price" : "17.99", "online_price" : "17.99", "our_price" : "17.99", "club_price" : "17.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Auction Block|Brian Cariveau

The Auction Block : A Novel About Data, AI, and What Most Teams Get Wrong

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Overview

The AI demo got applause. It also made the product worse - and cost $200,000.

The new AI model scored 92% accuracy in testing. On real customers, it collapsed to 31%.

And the data underneath it all? Nobody could say which of it could be trusted.

That's what Sarah Chen was up against at ClassicMotors.io - a company racing toward AI on a foundation that couldn't hold its weight.

Less than four years later, ClassicMotors was worth $1.2 billion.

Sarah didn't get there with shinier AI or more dashboards. She got there by learning how to pay attention to the right problems - and by building a team that could keep paying attention without her.

The Auction Block is a business fable in the tradition of The Phoenix Project and The Goal - a fast-paced story about what happens when a data-driven organization stops measuring everything and starts deciding something.

Through Sarah's journey, you'll see:

  • Why AI initiatives that shine in demos often fail in production
  • Why your data isn't AI-ready until you can map it - and trust it
  • How vanity metrics quietly replace strategy
  • How incentives - not talent - create organizational friction
  • Why having more data can be more dangerous than having too little

The story is followed by four leadership essays: the real-world frameworks behind the fable, drawn from 25 years of building data and analytics teams.

This book is for you if you:

  • Lead analytics, data, AI, product, operations, or transformation teams
  • Feel pressure to "go faster" without fixing underlying friction
  • Have dashboards, OKRs, and roadmaps - but still struggle to change outcomes
  • Suspect the problem isn't your people, but the system they're working in

The lessons in this story aren't limited to analytics teams. They're for anyone who's ever mistaken a beautiful report for a strategy - or wondered why their organization has all the tools and none of the momentum.

This is a story about data in the age of AI.

But at its core, it's a story about learning what deserves your attention - and acting on it.

This item is Non-Returnable

Details

  • ISBN-13: 9798247070689
  • ISBN-10: 9798247070689
  • Publisher: Independently Published
  • Publish Date: February 2026
  • Dimensions: 9 x 6 x 0.61 inches
  • Shipping Weight: 0.8 pounds
  • Page Count: 268

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