Ai Agents Made Easy
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Ai Agents Made Easy
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Author : Barron Wilson
language : en
Publisher: Estalontech
Release Date : 2025-06-06
Ai Agents Made Easy written by Barron Wilson and has been published by Estalontech this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
AI Agents Made Easy: Build Your Digital Workforce with No-Code Tools Simplify automation. Build smarter. No coding required. This practical, easy-to-follow guide helps you unlock the power of AI agents—intelligent digital workers that can think, act, and learn on their own. Best of all, you don’t need to be a programmer to build them. AI Agents Made Easy shows you how to create your own smart automation tools using popular no-code platforms like n8n, Coinbase AgentKit, Zapier, and Make. Whether you're running a business, managing content, trading crypto, or planning trips, this book walks you step by step through building agents that handle real-world tasks—automatically. You’ll learn how to build agents that: Trade crypto on Coinbase, monitor prices, and manage risk Write and optimize content for TikTok, YouTube, and blogs Create branded videos and auto-post them to social media Plan travel, find deals, and book multi-stop trips Summarize research from the web, PDFs, and social media Write, polish, and schedule blog posts for platforms like WordPress and X You'll also discover how to connect these agents into larger systems—like a full-blown content production pipeline or an automated travel business. Along the way, you'll explore key tips for keeping your agents running smoothly, securely, and around the clock. And because the world of AI is moving fast, you’ll get a look at what’s coming next: the latest tools, trends, and ethical insights to help you stay ahead.
Intro Guide To Concept Of Ai Agent
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Author : Barron Wilson
language : en
Publisher: Estalontech
Release Date : 2025-06-06
Intro Guide To Concept Of Ai Agent written by Barron Wilson and has been published by Estalontech this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
So you want to know what AI agents are all about? Great! Think of this as your friendly, easy-to-digest intro to one of the most exciting trends in tech today — no jargon, no complicated theories, just simple ideas and real-world examples. An AI Agent isn’t just a chatbot or a bot that follows strict rules. It’s more like a smart assistant that can understand your goals, make plans, use tools, and even adapt when things don’t go as expected. Imagine telling an AI: “Find me the best flight to London next week,” and it actually figures out how to do that using different websites, compares prices, checks for availability, and books it — all on its own. That’s the power of an AI agent. This guide breaks everything down into bite-sized pieces so anyone can understand. You’ll learn: What makes an AI agent different from regular bots How they work behind the scenes — think of them having a brain (powered by large language models), a toolkit (like APIs, apps, databases), memory, and a rulebook (your instructions). Real-life examples , like AI assistants handling customer service or helping coders debug software. How to start experimenting with automation using visual tools like n8n, Zapier, or Make — no coding required! Important safety tips — because building smart systems also means thinking about ethics, privacy, and responsibility. One of the coolest parts is seeing how multiple AI agents can work together like a team. Just like humans divide up tasks, AI agents can split up complex problems, help each other out, and get things done faster and smarter. The guide also gives you a peek into the future — where you can start building your own AI agents using development kits from big companies like Google. But here’s the key advice: start simple . Don’t jump into complex systems unless you really need to. Often, a clear instruction or a basic workflow is all you need. And if you're inspired and want to go further, the book recommends diving into "AI Agents Made Easy" — a hands-on guide to building your own digital helpers using no-code tools. In short, this pocket guide is perfect for beginners who want to understand AI agents, see how they can change the way we work, and take the first step toward building their own. Whether you're a business owner, student, or just plain curious, this is your doorway into the future of AI — and it's already here.
Board Of Directors In 2025 Future Proof Your Business With Ai Agents
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Author : Jens Belner
language : en
Publisher: Jens Belner
Release Date :
Board Of Directors In 2025 Future Proof Your Business With Ai Agents written by Jens Belner and has been published by Jens Belner this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Future-Proof Your Business with AI Agents: Unlocking the Potential of Automation In today’s fast-paced business environment, staying ahead of the curve is essential. “Future-Proof Your Business with AI Agents” is your comprehensive guide to harnessing the power of artificial intelligence to transform your operations, drive growth, and improve efficiencies. This book is designed for business leaders and decision-makers who want to strategically incorporate AI into their organizational framework. Why You Should Read This Book Understand the Strategic Importance of AI: Learn the critical role AI plays in modern business and discover how automation can revolutionize your operations. Make a Strong Business Case for AI Agents: We provide a detailed analysis of ROI, cost reductions, and the financial benefits of integrating AI agents. Explore the Different Types of AI Agents: Get insights into the various kinds of AI agents and their functions within an enterprise. Practical Implementation Guidance: Dive into a step-by-step guide for deploying AI across departments, complete with risk identification and mitigation strategies. Enhance Customer Experience: Discover how AI can elevate your customer support and marketing strategies through 24/7 availability and tailored offers. Drive Efficiency through Automation: Identify non-core tasks suitable for automation and learn from real-world success stories. Optimize Financial Operations: Understand how to automate critical financial processes and improve labor allocation for maximum efficiency. Scalable Solutions for Future Growth: Learn how to adapt AI solutions that promote sustainable growth without significantly increasing overhead. Leverage Intelligent Reporting: Gain insights on real-time reporting tools and customizable reports that cater to your business needs. Overcome Resistance to Change: Address common misconceptions about AI and develop strategies to gain employee buy-in for a smooth transition. Stay Ahead of Trends: Get a glimpse into emerging technologies and their implications on the future of work in an AI-driven world. Key Takeaways “Future-Proof Your Business with AI Agents” equips you with the knowledge and tools to: - Implement AI effectively across various departments - Enhance efficiency and drive revenue growth - Establish ethical guidelines for automation - Maintain human oversight in critical processes Ready to transform your business? Take the first step toward a more automated future. Discover actionable insights and strategic solutions that will make AI a core component of your business strategy. Dive into this book today and set the stage for sustainable success tomorrow.
Ai Agents In Action
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Author : Micheal Lanham
language : en
Publisher: Simon and Schuster
Release Date : 2025-03-25
Ai Agents In Action written by Micheal Lanham and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
In AI Agents in Action, you'll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You'll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you'll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.
Blockchain Tethered Ai
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Author : Karen Kilroy
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-02-13
Blockchain Tethered Ai written by Karen Kilroy and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-13 with Computers categories.
Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with blockchain so that an MLOps system requires blockchain to function, which in turn tethers AI. This guide shows you how. You will: Learn how to create and power AI marketplaces with blockchain Understand why and how to implement on-chain AI governance Control AI by learning methods to tether it to blockchain networks Use blockchain crypto anchors to detect common AI hacks Learn methods for reversing tethered AI
Artificial Intelligence Driven Transformation In Insurance Security Devops And Intelligent Advisory Systems
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Author : Balaji Adusupalli
language : en
Publisher: Deep Science Publishing
Release Date : 2025-05-07
Artificial Intelligence Driven Transformation In Insurance Security Devops And Intelligent Advisory Systems written by Balaji Adusupalli and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
The insurance industry is undergoing a radical transformation driven by the exponential growth of artificial intelligence (AI) and digital technologies. Once viewed as a traditional, paperwork-heavy sector, insurance is now embracing intelligent systems to streamline operations, enhance customer experiences, and manage risks more effectively. This book, AI-Driven Transformation in Insurance: Security, DevOps, and Intelligent Advisory Systems, explores the dynamic convergence of AI, cybersecurity, DevOps, and next-generation advisory platforms that are reshaping the insurance landscape. In a world increasingly defined by real-time data and digital interactions, insurance providers must adapt rapidly to stay competitive. AI is no longer a future ambition—it is a present-day imperative. From underwriting automation and fraud detection to personalized policy recommendations and predictive analytics, AI is enabling insurers to make smarter decisions faster. However, this transformation also introduces complex challenges related to data security, system integration, and regulatory compliance. This book takes a holistic view of the AI-powered insurance ecosystem. It discusses how secure DevOps practices—often referred to as DevSecOps—ensure that continuous integration and delivery pipelines are not only agile but also robust against evolving cyber threats. Additionally, it examines the rise of intelligent advisory systems that leverage natural language processing, machine learning, and contextual awareness to provide proactive and highly customized customer support. Through real-world case studies, industry insights, and a blend of technical and strategic analysis, readers will gain a deeper understanding of the tools and frameworks driving this new era of digital insurance. Whether you're a technology leader, insurance executive, data scientist, or researcher, this book offers a timely and practical guide to navigating the AI revolution in insurance. As the boundaries between technology and insurance continue to blur, the future belongs to those who can harness AI not just to automate, but to innovate. We invite you to explore the road ahead—where intelligent systems are not just supporting insurance operations, but redefining them entirely.
Fundamental Issues Of Artificial Intelligence
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Author : Vincent C. Müller
language : en
Publisher: Springer
Release Date : 2016-06-07
Fundamental Issues Of Artificial Intelligence written by Vincent C. Müller and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-07 with Philosophy categories.
This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.
Hands On Intelligent Agents With Openai Gym
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Author : Praveen Palanisamy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31
Hands On Intelligent Agents With Openai Gym written by Praveen Palanisamy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.
Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator Key Features Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks Implement agents to solve simple to complex AI problems Study learning environments and discover how to create your own Book Description Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level. What you will learn Explore intelligent agents and learning environments Understand the basics of RL and deep RL Get started with OpenAI Gym and PyTorch for deep reinforcement learning Discover deep Q learning agents to solve discrete optimal control tasks Create custom learning environments for real-world problems Apply a deep actor-critic agent to drive a car autonomously in CARLA Use the latest learning environments and algorithms to upgrade your intelligent agent development skills Who this book is for If you’re a student, game/machine learning developer, or AI enthusiast looking to get started with building intelligent agents and algorithms to solve a variety of problems with the OpenAI Gym interface, this book is for you. You will also find this book useful if you want to learn how to build deep reinforcement learning-based agents to solve problems in your domain of interest. Though the book covers all the basic concepts that you need to know, some working knowledge of Python programming language will help you get the most out of it.
Distributed Model Predictive Control Made Easy
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Author : José M. Maestre
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-10
Distributed Model Predictive Control Made Easy written by José M. Maestre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-10 with Technology & Engineering categories.
The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.
Disrupting Copyright
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Author : Margery Hilko
language : en
Publisher: Routledge
Release Date : 2021-02-09
Disrupting Copyright written by Margery Hilko and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Law categories.
New innovations are created every day, but today’s business leaders are focused on finding disruptive innovations which are cheaper and lower performing than upmarket technologies. They create new markets, and challenge the status quo of existing technological thinking creating uncertainty both in the future of the innovation and the outcome of the market upheaval. Disruptive innovation is an influential innovation theory in business, but how does it affect the law? Several of these technologies have brought new ways for individuals to deal with copyright works while disrupting existing market expectations, while their ability to spawn social norms has presented challenges for legislation. Considering disruptive innovation as a class, this book examines innovations that have impacted copyright in the past, what lessons can be learned from how the law interacted with them, and how the law can successfully deal with them going forward. Creating comprehensive guidance that can be used when faced with disruptive innovations with the aim of more successful legislation, it considers whether copyright law itself has been disrupted through these innovations. Exploring whether disruptive innovations as a class have unique properties that necessitate action by legislators and whether these properties have the possibility to disrupt the law itself, this book theorises how the law should deal with disruptive innovations in general, going beyond a discussion of the regulation of specific innovations to develop a framework for how law makers should deal with disruptive innovations when faced by one.