{"product_id":"140134","title":"The Age of Citizen Developers: Generative AI Task Automation ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYGWrpRz5PqlCYEfC3hnZTylVKzEY.png?v=1765078360\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e The Age of Citizen Developers: Generative AI Task Automation \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/146965812\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eA corporate training expert IT instructor with over 10 years of office experience\u003cbr\u003e Automation of practical tasks\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book is a work automation guide that covers how to solve practical problems using 'Vibe Coding', which generates code through questions.\u003cbr\u003e It contains the author's practical knowledge gained through practical experience, insights gained while applying generative AI to practical settings, and ideas and know-how on work automation discovered while coaching various practitioners.\u003cbr\u003e\u003cbr\u003e It shows you how to solve small, boring, repetitive tasks that would otherwise require the help of developers, and what kind of results you can achieve through them.\u003cbr\u003e I hope this book will serve as a stepping stone to transforming your work.\u003cbr\u003e  \u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003eYou can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003e[PART 01. INTRO]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e CHAPTER 01.\u003cbr\u003e ChatGPT: Transforming Human Work\u003cbr\u003e 1.1 How should we embrace and utilize the era of generative AI?\u003cbr\u003e 1.2 Why Non-Developers Produce More Innovative Results Than Developers\u003cbr\u003e 1.3 A deep learning program created by a production line employee who did not know the concept of AI.\u003cbr\u003e 1.4 Why It's Never Too Late to Learn Generative AI Now\u003cbr\u003e 1.5 Three Ways to Use ChatGPT for Work\u003cbr\u003e\u003cbr\u003e CHAPTER 02.\u003cbr\u003e Understanding ChatGPT from a Business Perspective\u003cbr\u003e 2.1 How are word clouds created? (feat.\u003cbr\u003e Natural language processing)\u003cbr\u003e 2.2 How did computers understand human language? (feat.\u003cbr\u003e Embedding)\u003cbr\u003e 2.3 Why did Nvidia stock rise? (feat.\u003cbr\u003e Deep learning structure and parameters)\u003cbr\u003e 2.4 The Crucial Technology That Led ChatGPT to Business Innovation (feat. RLHF)\u003cbr\u003e 2.5 Limitations of ChatGPT from a business perspective (feat.\u003cbr\u003e Hallucination) \u003cbr\u003e2.6 Efforts to expand the scope of AI utilization (feat.\u003cbr\u003e On-device AI)\u003cbr\u003e [Column] The Remarkable Speed ​​of Development of the LLM Model\u003cbr\u003e [Column] The Relationship Between NVIDIA's Stock Price and AI Model Parameters\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[PART 02.\u003cbr\u003e ChatGPT X Nocode]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e CHAPTER 03.\u003cbr\u003e How to ask the right questions (feat.\u003cbr\u003e Prompt Engineering)\u003cbr\u003e 3.1 Reflections on the Essence of Prompt Engineering\u003cbr\u003e ___3.1.1 Andrew Ng's Prompt Engineering\u003cbr\u003e ___3.1.2 Prompt Engineering as Described in the Official OpenAI Documentation\u003cbr\u003e ___3.1.3 Again, Andrew Ng (Simplified Prompt Usage)\u003cbr\u003e 3.2 The Future of Prompt Markets and Prompt Engineering\u003cbr\u003e 3.3 Improving Prompt Creation Efficiency\u003cbr\u003e ___3.3.1 [Case Study 1] Utilizing the Human Resources Multi-faceted Evaluation System\u003cbr\u003e ___3.3.2 [Case Study 2] Writing Regular Reports\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[PART 03.\u003cbr\u003e ChatGPT X Lowcode]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e CHAPTER 04.\u003cbr\u003e From the era of coding to the era of code reading\u003cbr\u003e 4.1 Generative AI: Ushering in an Era of Citizen Developers Where Anyone Can Code\u003cbr\u003e 4.2 Why Code Reading is Necessary\u003cbr\u003e\u003cbr\u003e CHAPTER 05.\u003cbr\u003e ChatGPT X Excel \u003cbr\u003e5.1 What if you could use all 515 Excel syntax rules?\u003cbr\u003e 5.2 The era of user forms and search is over.\u003cbr\u003e 5.3 Creating Excel Functions with ChatGPT\u003cbr\u003e ___5.3.1 [Practice 1] Changing the format of date data to the same\u003cbr\u003e ___5.3.2 [Practice 2] Creating Multiple Conditional Statements\u003cbr\u003e ___5.3.3 [Practice 3] Matching Double Data - Implementing Multi-Condition Searches Using the INDEX \u0026amp; MATCH Functions\u003cbr\u003e\u003cbr\u003e CHAPTER 06.\u003cbr\u003e ChatGPT X VBA\u003cbr\u003e 6.1 What happens when ChatGPT meets VBA?\u003cbr\u003e ___6.1.1 [Practice Preview] Creating 100 Reports for Each Company\u003cbr\u003e 6.2 Handling VBA through ChatGPT creation coding\u003cbr\u003e ___6.2.1 [Practice 1] Automatically creating 10 Excel sheets\u003cbr\u003e ___6.2.2 [Practice 2] Automatically Creating 10 Slides with PPT\u003cbr\u003e ___6.2.3 How to use VBA\u003cbr\u003e ___6.2.4 Understanding VBA Basic Functions\u003cbr\u003e 6.3 Learning the minimum grammar to understand VBA code\u003cbr\u003e ___6.3.1 Procedure\u003cbr\u003e ___6.3.2 Variables\u003cbr\u003e ___6.3.3 Data Types\u003cbr\u003e ___6.3.4 Variables\u003cbr\u003e ___6.3.5 Control Statements\u003cbr\u003e ___6.3.6 Array\u003cbr\u003e ___6.3.7 Built-in functions\u003cbr\u003e ___6.3.8 Error Handling\u003cbr\u003e ___6.3.9 Objects\/Properties\/Methods\u003cbr\u003e 6.4 Solving Real-World Problems with VBA \u003cbr\u003e___6.4.1 [Practice 1] Creating PDF reports of results for 100 clients\u003cbr\u003e ___6.4.2 [Practice 2] Controlling the entire spacing of characters in PowerPoint\u003cbr\u003e ___6.4.3 [Practice 3] Creating a promotional card news for your company\u003cbr\u003e ___6.4.4 [Practice 4] Merging Multiple Excel Files into One\u003cbr\u003e\u003cbr\u003e CHAPTER 07.\u003cbr\u003e ChatGPT X Google Apps Script\u003cbr\u003e 7.1 Understanding Google Apps Script\u003cbr\u003e 7.2 Basic usage of Google Apps Script\u003cbr\u003e 7.3 Using Apps Script with ChatGPT\u003cbr\u003e [Column] How to Fix Errors in Generated Code\u003cbr\u003e\u003cbr\u003e CHAPTER 08.\u003cbr\u003e ChatGPT X Power Query M-Code\u003cbr\u003e 8.1 Understanding Power Query\u003cbr\u003e ___8.1.1 Trying Power Query\u003cbr\u003e ___8.1.2 Power Query is difficult, so why combine it with coding?\u003cbr\u003e 8.2 Business Innovation with Power Query M-Code\u003cbr\u003e ___8.2.1 Adding a query\u003cbr\u003e ___8.2.2 Calculating the average of column values ​​using ChatGPT and M-code\u003cbr\u003e [Column] ChatGPT X All the Code in the World\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[PART 04.\u003cbr\u003e ChatGPT X Python]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e CHAPTER 09.\u003cbr\u003e The Ultimate in Business Utilization! ChatGPT X Python \u003cbr\u003e9.1 Why You Should Learn Python\u003cbr\u003e 9.2 Changes in Python Business Utilization Driven by ChatGPT\u003cbr\u003e 9.3 Preparation before learning Python\u003cbr\u003e ___9.3.1 Installing Python\u003cbr\u003e ___9.3.2 Installing Jupyter Notebook\u003cbr\u003e ___9.3.3 Installing Python and Jupyter Notebooks in a Closed Network Environment\u003cbr\u003e ___9.3.4 Basic Jupyter Notebook Usage\u003cbr\u003e 9.4 Learning the Minimum Grammar for Understanding Python Code\u003cbr\u003e ___9.4.1 Basic Operations: Fundamentals of Programming\u003cbr\u003e ___9.4.2 Variables and Data Types: Containers for Data\u003cbr\u003e ___9.4.3 Indexing and Slicing\u003cbr\u003e ___9.4.4 Data Structures\u003cbr\u003e ___9.4.5 Control Statements 1 - Conditional Statements\u003cbr\u003e ___9.4.6 Control Statement 2 - Loop Statement\u003cbr\u003e ___9.4.7 Other Features\u003cbr\u003e ___9.4.8 Troubleshooting\u003cbr\u003e [Column] Choosing the right code editor for your environment\u003cbr\u003e\u003cbr\u003e CHAPTER 10.\u003cbr\u003e Python RPA with ChatGPT\u003cbr\u003e 10.1 Generative Coding and RPA: Weapons to End Repetitive Tasks\u003cbr\u003e 10.2 Six Types of RPA Programs Frequently Used by Non-Developers\u003cbr\u003e ___10.2.1 [Type 1] Internet Automation \u003cbr\u003e___10.2.2 [Type 2] Data Processing Automation\u003cbr\u003e ___10.2.3 [Type 3] Personalized Data Automation\u003cbr\u003e ___10.2.4 [Type 4] Communication Automation\u003cbr\u003e ___10.2.5 [Type 5] Physical Automation (Windows Automation)\u003cbr\u003e ___10.2.6 [Type 6] Collaborative Automation\u003cbr\u003e 10.3 Automating Python Tasks with Generative Coding\u003cbr\u003e ___10.3.1 [Type 1] Creating Personalized Materials\u003cbr\u003e ___10.3.2 [Type 2] Batch renaming files\u003cbr\u003e ___10.3.3 [Type 3] Folder Organization Automation\u003cbr\u003e ___10.3.4 [Type 4] Data Processing Automation\u003cbr\u003e\u003cbr\u003e CHAPTER 11.\u003cbr\u003e Intelligent RPA (IPA) via OpenAI API\u003cbr\u003e 11.1 The Era of Intelligent Process Automation (IPA) Innovation\u003cbr\u003e 11.2 Basic Preparation for IPA Practice: Using the OpenAI API\u003cbr\u003e ___11.2.1 Setting up the OpenAI API\u003cbr\u003e ___11.2.2 First Use of the OpenAI API\u003cbr\u003e ___11.2.3 AI Technology Experienced through API\u003cbr\u003e 11.3 Creating an Auto-Response Chat Bot with IPA\u003cbr\u003e ___11.3.1 [Step 1] Access the practice site and open the developer tools window.\u003cbr\u003e ___11.3.2 [Step 2] Understanding the Web Structure of Article 1 \u003cbr\u003e___11.3.3 [Step 3] Creating a basic crawler based on the identified web structure\u003cbr\u003e ___11.3.4 [Step 4] Creating a Function with an Answer Bot Using the OpenAI API\u003cbr\u003e ___11.3.5 [Step 5] Integrating the OpenAI API into the Crawler\u003cbr\u003e\u003cbr\u003e CHAPTER 12.\u003cbr\u003e Python Data Analysis with ChatGPT\u003cbr\u003e 12.1 Fundamentals of AI-Based Data Analysis\u003cbr\u003e 12.2 Basic Knowledge for Building AI Models - Statistical Regression Models and Machine Learning Regression Models\u003cbr\u003e ___12.2.1 90% data preprocessing, 10% analysis? NO! 10% data preprocessing, 90% analysis!\u003cbr\u003e ___12.2.2 How do statistical regression models used to predict future figures work?\u003cbr\u003e ___12.2.3 What is the difference between statistical regression models and machine learning regression models?\u003cbr\u003e ___12.2.4 Knowledge needed to implement machine learning regression models as questions\u003cbr\u003e 12.3 Predicting Future Exchange Rates Using Generative Coding\u003cbr\u003e\u003cbr\u003e CHAPTER 13.\u003cbr\u003e Creating a Python AI Program Using ChatGPT\u003cbr\u003e 13.1 Various AI programs that can be implemented through theoretical learning alone \u003cbr\u003e13.2 Image-based Good\/Defective Product Processing Program\u003cbr\u003e ___13.2.1 [Step 1] Configuring the development flow of the image classification model\u003cbr\u003e ___13.2.2 [Step 2] Request code generation based on verified data\u003cbr\u003e ___13.2.3 [Step 3] Verifying the practicality of the generated code using an image classification model\u003cbr\u003e 13.3 YouTube Comment Quality Judgment Program\u003cbr\u003e ___13.3.1 [Step 1] Creating YouTube Comment Crawling Code\u003cbr\u003e ___13.3.2 [Step 2] Creating code to evaluate the quality of comments\u003cbr\u003e ___13.3.3 [Step 3] Combining the comment crawling code and the comment quality assessment code\u003cbr\u003e ___13.3.4 [Step 4] Developing the code to save the comment quality evaluation results to Excel\u003cbr\u003e 13.4 Extracting only the desired text from a receipt\u003cbr\u003e ___13.4.1 [Step 1] Importing photo files\u003cbr\u003e ___13.4.2 [Step 2] Create an image as a Base64 encoded file\u003cbr\u003e ___13.4.3 [Step 3] Set the derivation results to the desired data format \u003cbr\u003e___13.4.4 [Step 4] Provide the schema to the OpenAI API model as the response_format parameter.\u003cbr\u003e ___13.4.5 [Step 5] Collect data by applying it to all files and create it in Excel\u003cbr\u003e 13.5 Extracting only the desired text from a receipt\u003cbr\u003e ___13.5.1 [Step 1] Gathering Protest Information\u003cbr\u003e ___13.5.2 [Step 2] OCR-based data extraction\u003cbr\u003e ___13.5.3 [Step 3] Data Preprocessing\u003cbr\u003e ___13.5.4 [Step 4] Map Visualization\u003cbr\u003e [Column] How did information structuring technology, a key strength of generative AI, come about?\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate5340\/MidCate1\/533902292.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e If you've opened this book to discuss work efficiency, we sincerely welcome you! This book is based on the author's on-site lectures. It shares insights and solutions discovered through working with diverse professionals to address their work challenges and find solutions.\u003cbr\u003e It's okay if you have no coding experience or don't know much about it. \u003cbr\u003eBecause the goal is to save you time with the help of generative AI.\u003cbr\u003e Stop putting off today's work until tomorrow or agonizing over work-related concerns. Start automating your work smartly with this book.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eWhat you will learn in this book\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.\u003cbr\u003e Exploring Generative AI from a Non-Developer Perspective\u003cbr\u003e Through the experiences of office workers who have used generative AI to solve practical problems, we explore how generative AI can be applied to work.\u003cbr\u003e We also introduce the underlying technologies of generative AI that are useful to understand from a business perspective.\u003cbr\u003e\u003cbr\u003e 2. Practical Applications of No-Code Generative AI\u003cbr\u003e Learn how to ask the right questions to effectively leverage AI, and how to improve the efficiency of prompt creation to solve repetitive document tasks like report writing.\u003cbr\u003e\u003cbr\u003e 3 Practical Applications of Low-Code Generative AI \u003cbr\u003eAnyone can now create code by asking questions, even without any programming knowledge.\u003cbr\u003e You can create complex Excel functions by asking questions, and experience automating Excel and PPT using VBA.\u003cbr\u003e\u003cbr\u003e 4. The Ultimate in Business Utilization: Practical Applications Using Generative AI and Python\u003cbr\u003e Discover how Python, a powerful, versatile programming language, can revolutionize your business.\u003cbr\u003e This book covers RPA focused on specific types of work, IPA utilizing OpenAI APIs, AI-based data analysis, and AI program development.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Features of this book]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e - Task automation that focuses on task type rather than technology, based on the perspective of a non-developer.\u003cbr\u003e - Focus on providing insights into the use of generative AI and practical techniques that can be applied in practice.\u003cbr\u003e Practical training designed to accommodate various work environments (Excel\/PPT, spreadsheets\/AppsScript, Python usage) \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS\u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n \u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e- \u003cstrong\u003eDate of issue:\u003c\/strong\u003e June 5, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 400 pages | 188*257*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9788931480030 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893400567850,"sku":"140134","price":35.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/3a191740c620ca6282af16f62bf96c7f.jpg?v=1765400362","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140134","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}