[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-115684-en":3,"doc-seo-115684-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},115684,962084928904,"Asher","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",6,"Technology","Scalable AI Systems - Architecting from Prototype to Production-Ready AI - First Edition","Scalable AI Systems: Architecting from Prototype to Production-Ready AI lays out an end-to-end blueprint for building reliable AI applications beyond the model itself. The early-release chapter defines an AI system as interconnected parts that transform user input into actions or responses and then learn from outcomes. It contrasts common production failures caused by retrieval or upstream system components with the misconception that issues always originate in the model. The framework introduces system anatomy across context, control, and observability layers to guide architecture, debugging, and assurance.","Scalable AI Systems  \nArchitecting from Prototype to Production-Ready AI  \nWith Early Release ebooks, you get books in their earliest form—the author ’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.  \nSwagata Ashwani andAshwani Nandini  \n[OceanofPDF.com](OceanofPDF.com)  \nScalable AI Systems  \nby Swagata Ashwani andAshwani Nandini  \nCopyright © 2027 O’Reilly Media, Inc. All rights reserved.  \nPublished by O’Reilly Media, Inc., 141 Stony Circle, Suite 195, Santa Rosa, CA 95401.  \nO’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles ([https://oreilly.com](https://oreilly.com)). For more information, contact our corporate/institutional sales department: 800-998-9938 or [corporate@oreilly.com](corporate@oreilly.com).  \nAcquisitions Editor: Louise Corrigan  \nDevelopment Editor: Shira Evans  \nProduction Editor: Clare Laylock  \nInterior Designer: David Futato  \nInterior Illustrator: Kate Dullea  \nJuly 2027: First Edition  \nRevision History for the First Edition  \n 2026-07-08: First Release  \nSee [https://oreilly.com/catalog/errata.csp?isbn=9798341674479](https://oreilly.com/catalog/errata.csp?isbn=9798341674479) for release details.  \nThe O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Scalable AI Systems, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc.  \nThe views expressed in this work are those of the authors and do not represent the publisher ’s views. While the publisher and the authors have  \nused good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.  \n979-8-341-67443-1 [LSI]  \n[OceanofPDF.com](OceanofPDF.com)  \nBrief Table of Contents ( Not Yet Final)  \nChapter 1: The AI System Lifecycle  \nChapter 2: Architecting Scalable AI Systems (unavailable)  \nChapter 3: LLMOps and CI/CD (unavailable)  \nChapter 4: Evaluation and Testing (unavailable)  \nChapter 5: AI Assurance as a System Property (unavailable) Chapter 6: Data Foundations—Quality, Lineage, and Governance (unavailable)  \nChapter 7: Metrics and Measurement  \nChapter 8: Bias, Fairness, and Explainability (unavailable) Chapter 9: Regulatory and Compliance Readiness (unavailable) Chapter 10: Case Study – Highly Regulated Industry (unavailable) Chapter 11: Case Study – Legacy Enterprise Systems (unavailable) Chapter 12: Case Study – Digital-Native Organization (unavailable)  \n[OceanofPDF.com](OceanofPDF.com)  \nChapter 1. The AI System Lifecycle  \nA NOTE FOR EARLY RELEASE READERS  \nWith Early Release ebooks, you get books in their earliest form—the author ’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.  \nThis will be the 1st chapter of the final book. Please note that the GitHub repo will be made active later on.  \nIf you’d like to be actively involved in reviewing and commenting on this draft, please reach out to the editor at [sevans@oreilly.com](sevans@oreilly.com).  \nPicture AskFirst, the customer-support assistant we’ll use as an example throughout this book. One morning it starts confidently telling customers they have 90 days to return a product. The real policy is 30. Refunds pileup, the support team scrambles, and everyone asks the same thing: what broke? The model was fine-it had been handed a","cbCaila2uxscKDXC","https://ap.wps.com/l/cbCaila2uxscKDXC","pdf",1923725,4,1,68,"English","en",105,"# The AI System Lifecycle\n## A Note for Early Release Readers\n## Picture AskFirst Example: Where the Break Really Happened\n## Defining the AI System Anatomy\n## Model, Context Layer, Control Layer, Observability Layer","[{\"question\":\"Why do production issues with AI systems often not come from the model itself?\",\"answer\":\"Many failures occur outside the model due to upstream components like retrieval supplying outdated policy pages. 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