9798181806146 - patriola's guide to claude: measuring claude: score and gate what claude actually produces: 16 de guide, patriola's (5 resultados)
Idioma: Inglés
Editorial: Independently published, 2026
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,10
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2026
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 14,25
Envío por EUR 3,84Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Independently published, 2026
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 14,47
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Independently Published Jun 2026, 2026
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,00
Envío por EUR 60,81Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - A draft can look clean and still be wrong in ways you only notice on the fortieth one. Taste does not scale. This book turns output quality into something you can measure, gate on, and track across thousands of generations. It builds the measurement layer for Claude Code operators who produ…ce text at volume: a hard-fail gate that blocks bad output before it ships, a quality spec mined from the failures you actually hit rather than a list of best practices, sentence-level metrics that put a number on the things people usually judge by feel, and a drift report that shows where Claude's output wanders once you look at the aggregate. Seven chapters, seven artifacts. Chapter 1 makes the case for a number over a verdict and defines the measurable axes of text quality. Chapter 2 builds the hard-fail gate - what belongs in a blocking check versus a warning, and a scanner that runs on every output. Chapter 3 is the method that sets this book apart: building the quality spec from observed failures, turning each real miss into one measurable rule. Chapter 4 quantifies the hard-to-measure - opener diversity, repetition, negation density, vocabulary spread - and insists on showing the count before calling anything clean. Chapter 5 measures instruction adherence across many outputs and flags drift from the spec. Chapter 6 reads the failure log in aggregate, weighting by severity and recency to surface where quality breaks down. Chapter 7 assembles the whole thing into one reproducible pass that gates a batch and signs it off with an acceptance certificate. The device-level craft of removing specific AI tells is its own book - \*Removing AI Tells\* (Book 6). This one builds the system that measures and enforces quality at scale. By the last chapter you can hand Claude a quality bar it cannot quietly miss.
Idioma: Inglés
Editorial: Independently Published, 2026
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- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 18,02
Envío por EUR 43,17Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. A draft can look clean and still be wrong in ways you only notice on the fortieth one. Taste does not scale. This book turns output quality into something you can measure, gate on, and track across thousands of generations. It builds the measurement layer for Claude Code operators who produc…e text at volume: a hard-fail gate that blocks bad output before it ships, a quality spec mined from the failures you actually hit rather than a list of best practices, sentence-level metrics that put a number on the things people usually judge by feel, and a drift report that shows where Claude's output wanders once you look at the aggregate. Seven chapters, seven artifacts. Chapter 1 makes the case for a number over a verdict and defines the measurable axes of text quality. Chapter 2 builds the hard-fail gate - what belongs in a blocking check versus a warning, and a scanner that runs on every output. Chapter 3 is the method that sets this book apart: building the quality spec from observed failures, turning each real miss into one measurable rule. Chapter 4 quantifies the hard-to-measure - opener diversity, repetition, negation density, vocabulary spread - and insists on showing the count before calling anything clean. Chapter 5 measures instruction adherence across many outputs and flags drift from the spec. Chapter 6 reads the failure log in aggregate, weighting by severity and recency to surface where quality breaks down. Chapter 7 assembles the whole thing into one reproducible pass that gates a batch and signs it off with an acceptance certificate. The device-level craft of removing specific AI tells is its own book - *Removing AI Tells* (Book 6). This one builds the system that measures and enforces quality at scale. By the last chapter you can hand Claude a quality bar it cannot quietly miss. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
