{ "id": "c70ad310-e974-4057-b8d4-d0f6dc4098b2", "created_at": "2026-04-06T00:21:55.678799Z", "updated_at": "2026-04-10T13:12:42.159703Z", "deleted_at": null, "sha1_hash": "bc72de6afda44c389ec1d6516757f7edba90e697", "title": "Intro to Using GScript for Red Teams", "llm_title": "", "authors": "", "file_creation_date": "0001-01-01T00:00:00Z", "file_modification_date": "0001-01-01T00:00:00Z", "file_size": 113631, "plain_text": "Intro to Using GScript for Red Teams\r\nBy Action Dan\r\nArchived: 2026-04-05 20:34:49 UTC\r\n\"Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life\" by Pascal Bornet.\r\nThis book was written at the very beginning of the agentic AI wave, looking at early adopters of using LLMs in\r\nagents to have generic language models drive computer tools. It has some great lessons learned on implementing\r\nagentic systems, but it’s largely non-technical, likely because it was written before these systems became\r\nstandardized.. I listened to this on Audible at about ~$15 for roughly 10 hours (on 1.5x speed).  At nearly 500\r\npages it's a pretty heavy read, although I personally found the first two parts the most impactful in terms of AI\r\ntheory and implementation insights. The final three parts shift toward business building, enterprise adoption, and\r\nlong-term societal impact. While the end of the book seemed to depart from reality a bit (talking about Universal\r\nBasic Income once agents take over the majority of jobs), I thought the beginning was fascinating and eye opening\r\nin terms of planning and reasoning with agents. Overall I'm going to give this 5 out of 10 stars. I recommend this\r\nto people wanting to get more theory and guidance when building out agentic systems, although I'm not sure I\r\nwould recommend this if you were looking for a technical book. The book has no real mention of actual\r\ntechnology needed to implement these ideas. There is almost no mention of specific models, structures, or even\r\nthe types of agents that could be run to automate these goals. In that sense the book left a lot to be desired, it was\r\nalmost purely theory.  That said, I did enjoy the first two parts of the book. The following are the chapters of the\r\nbook so you can get a better idea of it's contents before picking it up:\r\nhttp://lockboxx.blogspot.com/2018/02/intro-to-using-gscript-for-red-teams.html\r\nPage 1 of 3\n\nIntroduction\r\nPart 1: The Rise of AI Agents\r\nChapter 1: Beyond ChatGPT: The Next Evolution of AI\r\nChapter 2: The Five Levels of AI Agents: From Automation to Autonomy\r\nChapter 3: Inside the Mind of an AI Agent\r\nChapter 4: Putting AI Agents to the Test\r\nPart 2: The Three Keystones of Agentic AI\r\nChapter 5: Action: Teaching AI to Do, Not Just Think\r\nChapter 6: Reasoning: From Fast to Wise\r\nChapter 7: Memory: Building AI That Learns\r\nPart 3: Entrepreneurship and Professional Growth with AI Agents\r\nChapter 8: A Practical Guide For Building Successful AI Agents\r\nChapter 9: From Ideas to Income: Business Models for the Agent Economy\r\nPart 4: Enterprise Transformation Through Agentic AI\r\nChapter 10: Human-Agent Collaboration: Leadership, Trust, and Change\r\nChapter 11: Scaling AI Agents From Vision to Reality\r\nChapter 12: Case Study and Use Cases of Agents Across Industries\r\nPart 5: Future Horizons For Work and Society\r\nChapter 13: The New World of Work\r\nChapter 14: Society in the Age of Agents\r\nConclusion\r\nI struggled with parts of the book, because it repeatedly argues that agents should take action, but rarely explains\r\nhow that action is implemented.. Should agents be calling APIs in a microservice architecture, or should we be\r\ngiving agents full control of systems with local tools like ClawdBot? Is it better to give agents skills on how to use\r\nspecific tools, or should we continue using MCP servers for up-to-date information on the tools? There is a ton of\r\nimplementation details the book conveniently glosses over. The book also glosses over memory in a similar way,\r\nwhich in my experience if done wrong can make an agentic system much worse. Memory has lots of core\r\nquestions, like storage location and structure, as well as retrieval quality and embedding limitations. It's a pretty\r\nhard thing to get right, so I'm surprised it didn't dive into any of the technical edge cases there. One technique the\r\nbook does mention in depth is using an extensive RAG library or even a wiki or onboarding documents to support\r\nthe agentic system if it needs to lookup context or understanding around a process. The book is also very\r\nidealistic. From it's estimations on agentic reasoning capabilities (nearly a year after it was written and these\r\nmodels still make regular mistakes) to it's predictions around Universal Basic Income when many common jobs\r\nare automated, it honestly makes me a little worried what a more grounded future might look like when I see these\r\nas proposed solutions. \r\nhttp://lockboxx.blogspot.com/2018/02/intro-to-using-gscript-for-red-teams.html\r\nPage 2 of 3\n\nEtt fel inträffade.\r\nDet går inte att köra JavaScript.\r\nSource: http://lockboxx.blogspot.com/2018/02/intro-to-using-gscript-for-red-teams.html\r\nhttp://lockboxx.blogspot.com/2018/02/intro-to-using-gscript-for-red-teams.html\r\nPage 3 of 3", "extraction_quality": 1, "language": "EN", "sources": [ "Malpedia" ], "origins": [ "web" ], "references": [ "http://lockboxx.blogspot.com/2018/02/intro-to-using-gscript-for-red-teams.html" ], "report_names": [ "intro-to-using-gscript-for-red-teams.html" ], "threat_actors": [], "ts_created_at": 1775434915, "ts_updated_at": 1775826762, "ts_creation_date": 0, "ts_modification_date": 0, "files": { "pdf": "https://archive.orkl.eu/bc72de6afda44c389ec1d6516757f7edba90e697.pdf", "text": "https://archive.orkl.eu/bc72de6afda44c389ec1d6516757f7edba90e697.txt", "img": "https://archive.orkl.eu/bc72de6afda44c389ec1d6516757f7edba90e697.jpg" } }