Description
From the Publisher
AI Agents Bible (5 Books in 1) Beginner-to-Pro System for Agentic AI
$19.71
From the Publisher
Additional information
| ASIN : | B0GT4PH2G9 |
|---|---|
| Publisher : | Independently published |
| Publication date : | March 18, 2026 |
| Language : | English |
| Print length : | 155 pages |
| ISBN-13 : | 979-8252752471 |
| Item Weight : | 1.04 pounds |
| Dimensions : | 8.5 x 0.35 x 11 inches |
| Book 2 of 5 : | The Generative AI Creator Series |
| Best Sellers Rank: | #174 in Artificial Intelligence Expert Systems |
| Customer Reviews: | (66) |
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Benjamin Hayes –
From Prompts to Real Automation Systems
Moving beyond simple chat prompts is where things start to get interesting, and this guide really leans into that shift. Instead of just showing how to ask better questions, it walks through how to design and operate AI agents as working systems using no code tools like Custom GPTs, n8n, and Make.com.What stands out is the practical focus. There are clear frameworks for structuring agent instructions, guidance on adding human oversight, and solid explanations of concepts like RAG and performance tuning. It does not feel like hype. It feels like someone explaining how to actually build something that keeps working after the demo.The bonus materials are generous, especially the workflow templates and monetization guide. For founders, marketers, and operators who want automation without diving into heavy coding, this is a strong starting point. It may feel dense at times, but it gives you a real roadmap from experimenting with AI to deploying structured, repeatable systems.
One person found this helpful
Thomas lewis –
In depth and beautifully formatted
AI Agents Bible was a lot more in depth than I expected. It really gave me a solid understanding of the differentiation between a Chat GPT for example and true AI systems or agents. Theres definitely a lot more to learn but the book also does a good job of pointing you in different directions so you at least know where to start if you want to build your own agent for example or set up a GPT for a specific need.Another note, the book is really well formatted. Things are broken down nicely and organized well.
RSamara –
From Prompts to Partners
As a business owner constantly juggling SEO, content creation, and lead generation, I’ve often felt like I was drowning in the manual side of the digital world. I’ve read other books on AI, but Tomasz Dylik’s AI Agents Bible is the first one that felt like it handed me the keys to a factory rather than just a better hammer.Most people use AI like a suped-up search engine: you ask a question, it gives an answer. Dylik explores Agentic AI, where the system can reason, use tools, and correct its own mistakes. He shows how to build “loops” where an agent doesn’t just write a blog post; it researches the topic, checks its own facts, and formats it for WordPress without you ever touching a button.If you’re tired of “playing” with AI and want to start building with it, this system helps. Despite a lot of repitition, it has moved me from being an AI user to an AI builder.
Kindle Customer –
#1 book for automation.
This book helped me understand the process of automation and how to use 3 products to start my business.
SI –
Great book for AI engineers
Overall IdeaThe book is a practical guide to understanding and building AI agents—software systems that can act autonomously, make decisions, and complete tasks using tools like LLMs (large language models).It takes you from beginner concepts → real-world applications → advanced agent design.Book Breakdown (5-in-1 Structure)1. Foundations of AI AgentsWhat AI agents are: systems that perceive → think → actDifferences between:Simple automation vs. intelligent agentsChatbots vs. autonomous agentsCore components:MemoryPlanningTool usageIntro to LLMs and how they power agentsKey idea: Agents are not just answering questions—they take actions toward goals.2. Tools, Frameworks & SetupPopular tools and ecosystems:LangChainAutoGPT-style agentsAPIs (like OpenAI)How agents:Use tools (search, calculators, APIs)Connect to databasesBasics of prompt engineeringKey idea: Agents become powerful when they can use external tools and data.3. Building Your First AI AgentsStep-by-step examples:Task automation agentsChat-based assistantsConcepts introduced:Task decomposition (breaking big tasks into smaller ones)Decision loops (think → act → observe → repeat)Simple coding workflowsKey idea: Start small—build agents that solve one clear problem well.4. Advanced Agent DesignMulti-agent systems (agents working together)Memory systems:Short-term vs. long-term memoryPlanning strategies:ReAct (Reason + Act)Chain-of-thought style reasoningError handling and evaluationKey idea: Real-world agents need memory, planning, and reliability.5. Real-World Applications & MonetizationUse cases:Customer support botsBusiness automationPersonal productivity assistantsDeployment:Cloud vs. local modelsMaking money:SaaS toolsFreelancingAutomation servicesKey idea: AI agents can be turned into products or income streams.Key TakeawaysAI agents = LLM + tools + memory + decision-making loopThe future is agentic systems, not just chatbotsYou don’t need to be an expert to start—build and iterateReal value comes from:Automating workflowsIntegrating with real dataSolving specific problemsWho This Book Is ForBeginners exploring AIDevelopers moving into AI engineeringEntrepreneurs wanting to build AI toolsPeople interested in automation and productivitySummaryThis book teaches you how to go from basic AI concepts to building real, autonomous AI agents that can perform tasks and create value.
Angela Mummert –
A Must-Read for Anyone Building for the Future
I usually find tech books either too academic or outdated by the time they print, but this book completely blew me away. It strikes the perfect balance between high-level strategy and actual, practical execution.What I appreciate most is how the author cuts through the current AI hype. Instead of just throwing buzzwords at you, it gives you a clear, actionable blueprint for how autonomous agents actually work and how to deploy them effectively. The breakdowns of agent architecture, memory systems, and multi-agent coordination are incredibly sharp and easy to digest.Whether you are a developer looking to build next-gen applications, a business leader trying to automate complex workflows, or just someone curious about where technology is heading, this is the definitive guide. It is easily the most valuable book on my shelf right now. Do yourself a favor and pick up a copy!
Matthew Johnson –
More System Than Book, But that seems to be the point
This isn’t really a traditional “AI book.” It reads more like a system.“AI Agents Bible” focuses less on prompting and more on actually building with AI. Instead of treating AI like a chatbot, it pushes you toward creating workflows and systems that can handle tasks, make decisions, and run with minimal input. That shift alone makes it stand out.The structure is one of its strongest points. It moves from foundational concepts into real implementation, so you’re not just reading ideas, you’re seeing how they turn into working automations. The examples around tools like Custom GPTs and Make.com feel practical and usable, not just theoretical.That said, parts of the book can feel dense and lean more like documentation than a smooth read. It also relies heavily on specific platforms, which may not fit everyone’s setup.Overall, this is a solid resource if you’re ready to move beyond just “using” AI and start building with it. It’s more about execution than inspiration, and that’s what makes it valuable.
One person found this helpful
D StinnettD Stinnett –
Making AI more than a search engine.
Goes from basic use of AI to automating your work, monetization, and ethics. Even handed and goal driven learning.
A. Mesli –
Lot’s of example pipelines
This guide moves past basic prompting to show how tools like n8n and Make.com actually function as “systems.” The focus on error handling and data shaping is practical. It helps you create automations that save time. It has lot’s of example pipelines.
rog –
OK, but not 5 books in 1
It is an ok book, but not great. I really don’t understand why the author is promoting this book as 5 books in 1, and even call it a bible in the beginning of the book. The whole book is 150 pages, so it almost feels like a scam to call it 5 books in 1.
4 people found this helpful