AI and the Future Church: Make Your Ministry Irreplaceable in a World of Artificial Everything by Carey Nieuwhof
English | September 15th, 2026 | ISBN: 1637636024 | 352 pages | True EPUB | 0.77 MB
The AI era may be the greatest disruption the church has ever faced, and its greatest opportunity to reach more people. Carey Nieuwhof shows you how to build a ministry ready for today's culture and whatever comes next.

AI Money Machine 2026: The Beginner's Step-by-Step Blueprint to Making Money with ChatGPT, Digital Products & Automation - Even If You Have Zero Experience by david melville
English | February 25, 2026 | ASIN: B0GQ69N875 | 84 pages | EPUB | 0.55 Mb
Are you seeing everyone talk about AI and wondering how ordinary beginners are actually turning it into income?

AI For Electronic Engineers (II Edition): Using Artificial Intelligence for Hardware Design, Analysis, Debugging, Validation and Engineering Documentation (AI-Powered Engineering Series Book 1) by Asia Cazòrla
English | June 24, 2026 | ASIN: B0H6J4GNHP | 373 pages | EPUB | 14.43 Mb
AI for Electronic Engineers - Second Edition

AI Fluency: Building Decision Confidence in a World Designed to Overwhelm You
English | September 27, 2026 | ASIN: B0HL779YMK | 175 pages | Epub | 1.97 MB
What if the reason you still feel behind on AI is that you've been trying to solve the wrong problem?You've read the articles. Sat through the presentations. Dabbled with the tools. Maybe your organization has invested in licenses, training, an AI adoption strategy, even an implementation roadmap.And still, the outputs are uneven, the value is hard to prove, and you're left wondering what everyone else seems to understand that you don't.A new model launches and you wonder whether you need to stop and understand it.A vendor makes an extraordinary claim and you're not quite sure how to evaluate it.Someone in a meeting speaks confidently about AI and you're not quite sure whether there's substance behind the certainty.The information keeps coming.Clarity doesn't.That is the gap this book names.Yvette Brown and Shari Nomady call the capability on the other side AI fluency.It begins when you develop an internal reference point strong enough to evaluate what is coming at you instead of simply absorbing it.Then the whole experience changes.A new model drops. You'll look when it matters.A vendor overclaims. You know what to ask.A tool disappoints you. You get curious instead of turning the failure inward.A colleague uses the language of AI with great confidence. You can hear whether there is substance underneath it.The noise is still there.It just stops owning you.That is the promise at the center of AI Fluency: Building Decision Confidence in a World Designed to Overwhelm You.Decision confidence.The ability to distinguish signal from noise. To know what applies to your work. To make sound AI decisions without being destabilized by every new tool, headline, claim, or model release.To stop scanning the horizon for proof that everyone else is further ahead.Brown and Nomady have spent decades adapting as new technologies changed markets, organizations, and the way people work. For more than 35 years, they have built businesses and helped enterprise clients navigate those shifts in real time. Today, they work inside AI from multiple angles: training LLMs as domain experts and engaging in candid peer conversations where business leaders pressure-test real AI decisions around adoption, capability, and value. At the same time, they are teaching live AI Fluency cohorts where real practitioners build capability and cross into genuine fluency.Across those vantage points, the same pattern keeps showing up beneath the adoption metrics.Organizations are tracking access, usage, training, and activity.Genuine fluency shows up somewhere else.In judgment.In discernment.In the ability to evaluate instead of chase.In AI Fluency, you'll discover:why the AI environment creates so much anxiety and confusion, and how to recognize the noise and incentives driving itwhy AI adoption strategies can create plenty of activity without creating genuine capabilitywhat genuine AI fluency looks and feels like when you stop chasing and start evaluatingwhy your domain expertise, judgment, and lived experience become more valuable as AI gets betterthe conditions that help fluency take hold, deepen, and compound over timeFor executives, business leaders, and experienced professionals responsible for AI decision making, adoption, change, and business value, this book offers something more durable than another round of keeping up.A way to find your footing.A way to trust your judgment.A way to grow with AI without chasing it.Because keeping up was never the goal.

AI Client Acquisition for Freelancers: Practical ChatGPT Workflows for Finding Leads, Writing Outreach, Following Up, and Turning Conversations Into Paid Projects by Kevin Liu
English | June 11, 2026 | ASIN: B0GX4VSH1C | 108 pages | EPUB | 0.19 Mb
Most freelancers do not need another list of AI tools. They need a better way to find and start client conversations.

AI Beyond the Chatbox : How to Turn Simple AI Conversations into Repeatable Workflows That Save Time and Reduce Busywork
English | September 24, 2026 | ASIN: B0HFSZ7DWM | 237 Pages | PDF | 4.52 MB
AI is easy to experiment with. The real challenge is turning a useful conversation into a dependable process you can repeat.AI Beyond the Chatbox shows professionals how to move beyond one-time prompts and build practical AI-assisted workflows that reduce routine work, improve consistency, and save meaningful time without sacrificing judgment, accuracy, privacy, or accountability.Instead of focusing on hype or complicated technology, Robert R. Cooper explains how to identify the work that is genuinely worth improving. You will learn how to separate tasks that should remain manual from those that can benefit from AI assistance or greater automation.Through realistic workplace examples, this practical guide demonstrates how to create reusable systems for email, documents, research, meetings, reports, spreadsheets, data analysis, and recurring communication. You will discover how to supply the right context, define clear constraints, structure useful outputs, connect multiple steps, and build human review into the process.The book also addresses the problems that can erase the benefits of AI, including vague instructions, unreliable sources, hallucinations, confidential information, weak quality control, unnecessary automation, and workflows that create more correction work than they remove.You will learn how to:Recognize repetitive work with strong automation potentialBuild reusable prompts, context packs, and input templatesTurn summaries, drafts, and classifications into complete workflowsDesign triggers, rules, approvals, outputs, and exception pathsUse AI carefully with spreadsheets, research, and routine analysisMeasure actual time saved across the entire processProtect sensitive information and preserve human accountabilityCreate a personal AI operating system for recurring workYou do not need to be a programmer or automation specialist. You need a clear process, reliable inputs, realistic expectations, and the discipline to keep human judgment where it matters.Stop treating AI as a temporary answer box. Start building repeatable workflows that make everyday work easier to manage, verify, and improve.

AI Agents in Action: Intelligent workflows with LLMs, MCP, A2A, and more, 2nd Edition
English | 2026 | ISBN: 1633434532 | 392 pages | True PDF | 38.22 MB
Get the eBook free when you register your print book at Manning.Build AI agents that do more than respond. Give them tools, connect them to knowledge, coordinate their work, and evaluate how well they perform.AI Agents in Action, Second Editionteaches you how to design, build, evaluate, and deploy AI agents through working Python examples. You'll progress from a simple agent to tool-using assistants, coordinated multi-agent workflows, and deployable systems. Along the way, you'll learn how the pieces fit together and where to look when an agent needs improvement.What's new and included in the second edition?A near-total rewrite with new and extensive coverage of the latest agent innovationsAgents start to finish-from prompting and planning, to memory and evaluationNew chapter!Evaluate agents with LLM-as-judge, test-driven-development, and observable behaviorNew chapter!Explore the agentic loop, build task-focused agents, and develop long-horizon, goal focused systemsNew chapter!Metacognition harnesses that structure agent thinking, planning, and learningNew chapter!Practical tips and techniques for building AI applications, help desks, and deep research agentsNew chapter!Voice-driven AI agents, including real-world deployment patterns for multi-agent systemsMulti-agent workflows with assembly-flow, orchestration, and collaboration patternsHands-on with the Model Context Protocol (MCP) to connect agents to tools and serversHybrid search for Retrieval Augmented Generation (RAG) and practical ways to use memory in agentsWith more than 95% rewritten from the first edition, AI Agents in Action is far more than a refresh! You'll go right from your agent's first response, to systems that use tools, work together, draw on knowledge, and incorporate feedback. All illustrated with practical examples throughout.What's insideAutonomous agent design and deploymentMCP-based tools, resources, prompts, memory, and server integrationsReasoning and planning patterns including ReAct, Reflexion, Tree-of- Thought, and Sequential ThinkingAbout the readerFor intermediate Python programmers. No experience with AI agents and agentic systems required.About the authorMicheal Lanhamis a software and technology innovator with over 20 years of industry experience. He has authored books on deep learning, including Manning'sEvolutionary Deep Learning.Table of Contents1 The rise of AI agents2 Core components: Large language models, prompting, and agents3 Actions with Model Context Protocol for AI agents4 Architecting and building multi-agent systems5 Agent reasoning and planning6 Working with memory and knowledge RAG for agents7 Building robust agents with evaluation and feedback8 Deploying agents and agentic systems9 Understanding the agentic loop10 Exploring the cognitive agent that thinks, monitors, and adapts11 Tips for building agentic systemsA Setting up the sample code repositoryB Node.js setup for local MCP servers

AI Agents for Beginners: How to Build AI Agents, Automate Workflows, and Boost Productivity
English | September 27, 2026 | ASIN: B0HL6JFW4Z | 175 pages | Epub | 296.64 KB
What if AI could do more than answer your questions?What if it could help you research, organize information, automate repetitive tasks, manage workflows, create content, and work alongside you to accomplish real goals?AI Agents for Beginners is a practical introduction to the rapidly evolving world of AI agents and intelligent automation. Instead of focusing on complicated technical theory, this book explains how AI agents work, what they can actually do, and how you can begin using them to build smarter and more efficient workflows.You will discover how AI agents differ from ordinary AI tools and chatbots, how agents use instructions, information, tools, memory, and workflows, and how these components can work together to complete multi-step tasks.You will also learn how AI agents can support everyday productivity, content creation, marketing, business operations, research, and automation. The book takes you beyond simply asking AI questions and shows you how to think in terms of systems, processes, and repeatable workflows.Inside, you'll learn how to:• Understand the fundamentals of AI agents and intelligent automation• Identify workflows that are suitable for AI automation• Use AI agents to improve productivity and repetitive tasks• Apply AI agents to content creation and marketing workflows• Understand how AI agents can support business operations• Design and build your own AI agent system• Give agents appropriate instructions, tools, knowledge, and boundaries• Test, monitor, and improve AI-powered workflows• Avoid common AI agent mistakes and unnecessary complexity• Understand where AI agents are heading and how to prepare for the futureYou don't need to be an AI engineer or an advanced programmer to understand the concepts in this book. The focus is on practical thinking: finding useful problems, designing better workflows, understanding what AI can and cannot do, and combining human judgment with intelligent automation.The future of AI is moving from simple question-and-answer tools toward systems that can participate in real work.The people who learn how to build and use these systems thoughtfully will be better prepared to take advantage of that shift.Whether you're a beginner exploring AI, a creator looking to automate repetitive work, a student interested in emerging technology, an entrepreneur exploring AI-powered businesses, or simply someone who wants to become more productive with artificial intelligence, this book gives you a practical foundation for understanding AI agents and putting them to work.Start with one workflow. Build one useful system. Then build from there.

AGENT ORCHESTRATION: The Complete Guide to Multi-AI Systems (The Agent Engineering Series) by Omar Candanedo
English | June 21, 2026 | ASIN: B0H671C1YF | 67 pages | EPUB | 0.29 Mb
Agent Orchestration

ADVANCED TREATMENT FOR ALBINISM: APOMETRY, NLP, REGRESSION AND HYPNOSIS
English | September 11, 2023 | ISBN: None | 374 Pages | EPUB (True) | 301.61 KB
Welcome to a journey of discovery, healing, and transformation. In the pages that follow, we delve into the fascinating world of advanced treatment for albinism, exploring a holistic approach known as Apometry. This book is a culmination of years of research, experience, and a deep passion for unlocking the potential within each individual, regardless of their unique circumstances.