9798249201982 - recursive: how a computational geometry specialist built a white-label ai support platform in 16 days de mcintyre, alan (4 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 18,43
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 17,39
Envío por EUR 3,83Se 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
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 18,42
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. In January 2026, a computational geometry specialist with twenty-eight years of software development experience had a throwaway idea about building a support chatbot for a client. Nine hours later, he had a working prototype. Sixteen days later, he had a multi-tenant platform with five deplo…yed agents, a paying customer, and a codebase that could onboard a new client from a single URL. This book is the honest, commit-by-commit story of that sprint-what worked, what broke, and why the decisions that mattered most had nothing to do with AI. It covers security hardening on day two (not day two hundred), a knowledge base built from twelve years of domain expertise rather than a generic document upload, an infrastructure migration that cut hosting costs while improving isolation, and a self-improvement loop where the agents propose their own knowledge base edits for human review. It also covers the parts that didn't go well: signups that never responded, a shared API budget that took down every agent overnight, and the humbling gap between "I have a product" and "anyone knows it exists." The tools were new. The judgment behind every architectural decision was not. If you're an experienced developer wondering what AI-assisted development actually looks like in practice-not the hype, not the demo, but the real engineering tradeoffs-this is that story. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 20,96
Envío por EUR 43,06Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. In January 2026, a computational geometry specialist with twenty-eight years of software development experience had a throwaway idea about building a support chatbot for a client. Nine hours later, he had a working prototype. Sixteen days later, he had a multi-tenant platform with five deplo…yed agents, a paying customer, and a codebase that could onboard a new client from a single URL. This book is the honest, commit-by-commit story of that sprint-what worked, what broke, and why the decisions that mattered most had nothing to do with AI. It covers security hardening on day two (not day two hundred), a knowledge base built from twelve years of domain expertise rather than a generic document upload, an infrastructure migration that cut hosting costs while improving isolation, and a self-improvement loop where the agents propose their own knowledge base edits for human review. It also covers the parts that didn't go well: signups that never responded, a shared API budget that took down every agent overnight, and the humbling gap between "I have a product" and "anyone knows it exists." The tools were new. The judgment behind every architectural decision was not. If you're an experienced developer wondering what AI-assisted development actually looks like in practice-not the hype, not the demo, but the real engineering tradeoffs-this is that story. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
