Isbn: 9798192551356 - building intelligent applications with claude ai: a practical guide to creating ai-powered tools, assistants, automation systems, and software products (5 resultados)

- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 19,59
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.

- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 17,98
Envío por EUR 3,89Se 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.

- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,58
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Building a useful AI application requires more than getting a language model to produce an impressive response. A dependable system needs clear instructions, controlled context, reliable tool use, useful retrieval, testing, guardrails, and production monitoring.Building Intelligent Applications with Claude AI provides a practical path from the first API request to production-ready AI software.You will learn how to design system prompts that produce consistent behavior, manage multi-turn conversations, work with growing context, and handle long-running sessions. The book then moves into tool use, multi-tool assistants, document retrieval, grounded responses, source citation, and the architecture behind modern AI agents.You will also learn how to design agentic workflows, coordinate multiple agents, create guardrails, introduce human checkpoints, handle escalation, and decide when autonomy is appropriate.The final chapters focus on the engineering work that determines whether an AI feature survives real users: testing non-deterministic behavior, separating infrastructure failures from reasoning failures, handling rate limits, reducing latency, managing token costs, monitoring quality, and preparing applications to scale.Designed for developers, technical founders, product engineers, AI builders, and software architects, this book focuses on practical AI application development rather than theoretical machine learning.From assistants and automation tools to retrieval systems and multi-step agents, the goal is to help you build AI software that is useful, testable, controlled, and ready for real-world use.…

- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 19,31
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 22,49
Envío por EUR 43,71Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Building a useful AI application requires more than getting a language model to produce an impressive response. A dependable system needs clear instructions, controlled context, reliable tool use, useful retrieval, testing, guardrails, and production monitoring.Building Intelligent Applications with Claude AI provides a practical path from the first API request to production-ready AI software.You will learn how to design system prompts that produce consistent behavior, manage multi-turn conversations, work with growing context, and handle long-running sessions. The book then moves into tool use, multi-tool assistants, document retrieval, grounded responses, source citation, and the architecture behind modern AI agents.You will also learn how to design agentic workflows, coordinate multiple agents, create guardrails, introduce human checkpoints, handle escalation, and decide when autonomy is appropriate.The final chapters focus on the engineering work that determines whether an AI feature survives real users: testing non-deterministic behavior, separating infrastructure failures from reasoning failures, handling rate limits, reducing latency, managing token costs, monitoring quality, and preparing applications to scale.Designed for developers, technical founders, product engineers, AI builders, and software architects, this book focuses on practical AI application development rather than theoretical machine learning.From assistants and automation tools to retrieval systems and multi-step agents, the goal is to help you build AI software that is useful, testable, controlled, and ready for real-world use. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…