Table of Contents
Artificial Intelligence Translates the Language of Animals
Kim Kyung-jin, Attorney at Law
The Story of AI Learning to Listen to Whales, Dolphins, Birds, and Bees
Twelve chapters on how AI listens to dolphins, sperm whales, humpback whales, birds, and bees to find rules in their sounds, and what this technology means for its risks and for animal rights. Written in simple sentences a child can read, with verified sources in every section.
Table of Contents
AI Deciphers Ancient Scripts
Kim Kyung-jin, Attorney at Law
Ancient Records Revived by AI
In twelve chapters, this book explains how AI revives records once unreadable, from burned scrolls and wooden slips buried in mud to broken clay tablets. It covers virtual unrolling at Herculaneum, virtual collation of oracle-bone texts, reading Silla wooden tablets, computational analysis of undeciphered scripts, and multispectral archives, with verified references for each chapter.
Table of Contents
Artificial Intelligence for New Materials Design and Rocket Propulsion Engineering
Kim Kyung-jin, Attorney at Law
AI Potentials, Self-Driving Laboratories, and Physics-Informed Machine Learning (PIML)
Ten chapters on how artificial intelligence is changing new materials and rocket propulsion: atomic simulation, generative models, self-driving labs, high-temperature alloys, metal 3D printing, combustion, cooling design, and engine diagnosis and control. Written without equations, with verified sources in every chapter.
AI Library
The Age of Autonomous Scientific Discovery
Kim Kyung-jin, Attorney at Law
AI Scientists and Self-Driving Labs
This book follows how AI scientists and self-driving labs are changing the way science generates and verifies claims. It covers literature-based discovery, natural-language protocols translated into robot commands, multi-agent research systems, closed-loop laboratories, materials search, the verification gap, chains of evidence, research harnesses, journal ethics, and legal responsibility.
AI Library
A New Era of Life Sciences Opened by Artificial Intelligence
Structural Proteomics, Genomic Foundation Models, Autonomous Laboratories, and Global Governance
Kim Kyung-jin, Attorney at Law
This book is a research volume compiled with artificial intelligence. A human selected the materials and structured the work, while AI models drafted the sentences and cross-checked the facts.
AI Library
The Double Structure of Digital Sovereignty
Europe’s Departure from Palantir and the Chains of American Big Tech
Kim Kyung-jin, Attorney at Law
This is a record of 2026, when European intelligence agencies and defense ministries began removing analytics tools from America’s Palantir. It covers the replacement decisions made by France’s General Directorate for Internal Security (DGSI), Germany’s Federal Office for the Protection of the Constitution (BfV), and the Netherlands Ministry of Defense; the incident in which US export controls severed an ally’s ac…
New English Edition
Artificial Intelligence in Horticulture
Kim Kyung-jin, Attorney at Law
Across five chapters and ten sections, this book examines computer vision for crop diagnosis, harvesting robots and autonomous field systems, smart greenhouses and digital twins, precision irrigation and supply-chain quality control, high-throughput phenotyping, and predictive breeding.
New English Edition
Artificial Intelligence in Food Crop Agriculture
Kim Kyung-jin, Attorney at Law
Across six chapters and eighteen sections, the book examines digital agricultural infrastructure, remote sensing, crop diagnosis, yield forecasting, precision irrigation, genomics, molecular breeding, agricultural robotics, climate-smart agriculture, and global food security.
New English Edition
The Future of Forestry and Agroforestry
Kim Kyung-jin, Attorney at Law
Driven by Artificial Intelligence and Digital Innovation
Across five chapters and fifteen sections, the book follows satellites, drones, LiDAR, digital twins, forest-specific language models, wildfire and pest forecasting, forestry robotics, agroforestry, timber traceability, and forest carbon markets.
New English Edition
Smart Livestock Farming: AI Enters the Barn
Kim Kyung-jin, Attorney at Law
Sensors listen, cameras watch, and artificial intelligence helps farmers decide.
Across five chapters and fifteen sections, the book follows precision livestock farming from animal health and reproduction to robotic milking, virtual fencing, digital twins, methane reduction, welfare, and data ownership.
Table of Contents
Han Dong-hoon, Busan Buk-gu Gap: A Record of the 100 Days Before and After the Election (Mar. 26-Jul. 3, 2026)
Kim Kyung-jin
Table of Contents and 13 sections
From March 26 to July 3, 2026, this record follows the spring after expulsion, the Busan Buk-gu Gap by-election, victory as an independent, and the first bill submitted in the National Assembly.
Table of Contents
Artificial Intelligence and Medicine
Kim Kyung-jin, Attorney at Law
AI in clinical care, hospitals, education, and research
AI in medical imaging, risk prediction, treatment planning, hospital operations, education, and research, with patient safety, privacy, and accountability.
[AI Library] 37 Concrete Codex Use Cases - Chapter 12. Competitor websites, SEO, pricing policy, and review scraping analysis:
Chapter 12. Competitor websites, SEO, pricing policy, and review scraping analysis: a single view of our business weaknesses and opportunities
Foundation for beginners: Why hand competitor analysis to AI? When you are launching a new business or entering a competitive markets, such as landscape firms or web design agencies, it is essential to analyze how competitors get traffic, how they set prices, and what customer reviews say. But visiting dozens of competitor websites one by one to collect data and organize it into spreadsheets is hard labor that can take weeks to months. With AI agents like Claude Code and Codex, you can scrape competitors’ SEO status (backlinks, organic traffic), social media awareness, and pricing structure with one prompt and summarize everything in a complete dashboard. The AI even analyzes the data and gives strategic advice, such as "This competitor has strong traffic but slow mobile speed, so we should focus on mobile optimization."
Practical use case: building a competitor website SEO and health check dashboard. Suppose you run a voice AI agent agency and want to analyze your competitors’ SEO condition.
1. Prepare the environment and configure APIs. To fetch competitor data, it is best to use an API such as Data for SEO, a credential or access path to retrieve data from specific software. In the project folder, create an agents.md file and pre-load the AI with the instruction: "Use the Data for SEO API for SEO analysis."
2. Give instructions to the agent (example prompt). For beginners, give clear instructions about the role the AI should play and the outcome you expect.
Example prompt input: "I am planning to launch a new landscape company. I will provide URLs of competitors I want to benchmark, such as competitor-landscape.com. Please scrape and analyze the current business status of this site.
Collect the following items using Data for SEO API or web scraping tools such as Firecrawl, and visualize them in an HTML dashboard format.
SEO health check: check organic traffic, backlink count, and whether there are broken links.
Marketing strategy: monitor whether Google Ads or Facebook Ads are running and evaluate social media awareness.
Pricing structure and reviews: summarize the pricing policy listed on the site and analyze the available customer reviews.
Once collection is complete, based on the analyzed data, also prepare an executive report that includes the competitor’s Weaknesses, Improvements, and Keyword suggestions for targets we should pursue."
Once the prompt describing the AI workflow and output is entered, the AI immediately activates the scraper and explores the competitor website. In about one to two minutes, it produces and shows a dashboard with polished UI. The dashboard presents intuitive findings such as "Competitor Score: 0/100 (no backlinks, organic traffic exists)." What is more useful is the analysis the AI provides: "Competitor weakness: the pricing policy is unclear, which may cause customer churn. Recommendation: place a transparent pricing table on the main page to differentiate us." You can get this level of business consulting output in a few minutes, equivalent to the productivity of hiring ten employees.