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AI for Everyday IT: Accelerate workplace productivity
Automate and accelerate your everyday IT tasks with instant solutions!
What if you never had to write another after-incident report, piece of boilerplate code, or a performance review from scratch ever again? Use AI tools like ChatGPT, Claude, Gemini, and Copilot right, and you’ll take back hours of your time—and more! AI for Everyday IT reveals how you can automate dozens of your daily IT tasks with generative AI.
In AI for Everyday IT you’ll learn how
• Write effective prompts for common IT tasks
• Optimize report generation, document handling, and workplace communication
• Resolve IT conflicts and crises
• Acquire new skills and upgrade your resume
• AI for help desk, database administration and systems administration
• Incorporate AI into DevOps processes and create AI-powered applications
• Simplify time-consuming people management tasks
In this hands-on guide, automation experts Chrissy LeMaire and Brandon Abshire show you how AI tools like ChatGPT have made their lives a million times easier, and how they can do the same for you. You’ll find proven strategies for using AI to improve help desk support, automate sysadmin and database tasks, aid with DevOps engineering, handle managing IT teams, and dozens more time-saving and quality-improving hacks.
Foreword by Nitya Narasimhan.
About the technology
Have you lost days sifting through logs to find a latency issue? AI can do it in seconds! Need to update your documentation? Mere moments for AI. Are you writing scripts, designing data recovery strategies, and evaluating network designs? AI can handle it all—if you know how to use it.
About the book
AI for Everyday IT shows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning—even writing professional emails when you’re too furious to be nice! This instantly-useful guide has time-saving techniques for all IT pros—from devs and DBAs to technical writers and product managers. Each relatable example is fully illustrated with the prompts and problem formulation strategies, along with interesting insights and anecdotes from authors Chrissy Lemaire and Brandon Abshire.
What's inside
• Document handling and workplace communication
• Database administration and development
• DevOps engineering and AI powered apps
• People management and career planning
About the reader
Whether you’re working in operations, development, management, or security, you’ll love these productivity hacks for generative AI. No previous AI experience required.
About the author
Chrissy LeMaire is a dual Microsoft MVP and GitHub Star, the creator of dbatools, and author of the Manning book Learn dbatools in a Month of Lunches. Brandon Abshire has spent over twenty years in IT, including roles at a leading Fortune 500 semiconductor and telecommunications company and multiple top-ranked US hospital systems.
What if you never had to write another after-incident report, piece of boilerplate code, or a performance review from scratch ever again? Use AI tools like ChatGPT, Claude, Gemini, and Copilot right, and you’ll take back hours of your time—and more! AI for Everyday IT reveals how you can automate dozens of your daily IT tasks with generative AI.
In AI for Everyday IT you’ll learn how
• Write effective prompts for common IT tasks
• Optimize report generation, document handling, and workplace communication
• Resolve IT conflicts and crises
• Acquire new skills and upgrade your resume
• AI for help desk, database administration and systems administration
• Incorporate AI into DevOps processes and create AI-powered applications
• Simplify time-consuming people management tasks
In this hands-on guide, automation experts Chrissy LeMaire and Brandon Abshire show you how AI tools like ChatGPT have made their lives a million times easier, and how they can do the same for you. You’ll find proven strategies for using AI to improve help desk support, automate sysadmin and database tasks, aid with DevOps engineering, handle managing IT teams, and dozens more time-saving and quality-improving hacks.
Foreword by Nitya Narasimhan.
About the technology
Have you lost days sifting through logs to find a latency issue? AI can do it in seconds! Need to update your documentation? Mere moments for AI. Are you writing scripts, designing data recovery strategies, and evaluating network designs? AI can handle it all—if you know how to use it.
About the book
AI for Everyday IT shows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning—even writing professional emails when you’re too furious to be nice! This instantly-useful guide has time-saving techniques for all IT pros—from devs and DBAs to technical writers and product managers. Each relatable example is fully illustrated with the prompts and problem formulation strategies, along with interesting insights and anecdotes from authors Chrissy Lemaire and Brandon Abshire.
What's inside
• Document handling and workplace communication
• Database administration and development
• DevOps engineering and AI powered apps
• People management and career planning
About the reader
Whether you’re working in operations, development, management, or security, you’ll love these productivity hacks for generative AI. No previous AI experience required.
About the author
Chrissy LeMaire is a dual Microsoft MVP and GitHub Star, the creator of dbatools, and author of the Manning book Learn dbatools in a Month of Lunches. Brandon Abshire has spent over twenty years in IT, including roles at a leading Fortune 500 semiconductor and telecommunications company and multiple top-ranked US hospital systems.
376 pages, Paperback
Published July 1, 2025
7 people are currently reading
11 people want to read
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Displaying 1 - 5 of 5 reviews
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July 2, 2025AI for Everyday IT is a practical guide for IT professionals who want to understand how AI tools can support day-to-day operations. The book does a solid job demystifying AI without overwhelming the reader with technical jargon. It focuses on real-world examples that show how AI can automate repetitive tasks, assist with troubleshooting, and improve efficiency in areas like service management, monitoring, and ticket resolution.
What I appreciated most is that the author keeps the content grounded in practical scenarios IT teams face regularly, rather than leaning into hype or overly abstract discussions. The sections on integrating AI with existing workflows and tools like chatbots and virtual agents are especially useful.
The book leans more towards accessibility than deep technical depth, so experienced AI practitioners might find it basic, but for IT folks new to this space or looking to make their operations more efficient with AI, it's a good starting point.
Recommended for IT professionals curious about applying AI in a hands-on, manageable way without getting lost in theory.
What I appreciated most is that the author keeps the content grounded in practical scenarios IT teams face regularly, rather than leaning into hype or overly abstract discussions. The sections on integrating AI with existing workflows and tools like chatbots and virtual agents are especially useful.
The book leans more towards accessibility than deep technical depth, so experienced AI practitioners might find it basic, but for IT folks new to this space or looking to make their operations more efficient with AI, it's a good starting point.
Recommended for IT professionals curious about applying AI in a hands-on, manageable way without getting lost in theory.
August 8, 2025
The title sets the wrong expectations—it is too broad when the book is really just about prompt engineering. And given how fast AI changes, this feels like those topics become less useful. Will this book even matter in a few months? Right now, it doesn’t seem built to last.
Specific model names, respective pricing, specialised use cases...Some suggestions feel behind the curve already. Why use basic models for tasks when specialized tools (or AI agents) could do it better? The methods here require too much manual work and the result can vary when you actually work on it.
A lot of the examples seem lazily pumped out by an LLM—Those examples are shadow and repetitive.
It is a good try to mix with LLM to write the book. In general, it does not give much support on how to use LLM efficiently.
Specific model names, respective pricing, specialised use cases...Some suggestions feel behind the curve already. Why use basic models for tasks when specialized tools (or AI agents) could do it better? The methods here require too much manual work and the result can vary when you actually work on it.
A lot of the examples seem lazily pumped out by an LLM—Those examples are shadow and repetitive.
It is a good try to mix with LLM to write the book. In general, it does not give much support on how to use LLM efficiently.
November 4, 2025
After a quick scan through the pages, it became clear that the book focuses less on the theoretical aspects of artificial intelligence and more on the applications aspect - particularly how generative AI tools such as ChatGPT, Claude, Gemini, and Copilot can enhance productivity in everyday IT roles. My main takeaway, therefore, is an increased awareness of how AI can serve as an intelligent assistant for IT professionals (operations, development, DevOps, management) - helping in system operation & administration, generate codes, testing, draft scripts, automate documentation, analyze data, delivery/deployment, and manage teams with greater efficiency.
I believe the book will be especially helpful for readers who have not yet had hands-on experience with AI tools, offering them valuable insights and practical understanding through accessible examples.
I believe the book will be especially helpful for readers who have not yet had hands-on experience with AI tools, offering them valuable insights and practical understanding through accessible examples.
July 6, 2025
The book is aimed to help the IT professional understand how AI can be used - be they systems administrators, database administrators, IT managers, developers or security professionals. It does this in an easy to understand way, that takes the reader gently from known to unknown.
The author takes the reader through practical examples that they can relate to, to illustrate it's usage - leaving the user confident to tackle real world problems, and make themselves more productive. No knowledge of AI is required before reading this book.
The author takes the reader through practical examples that they can relate to, to illustrate it's usage - leaving the user confident to tackle real world problems, and make themselves more productive. No knowledge of AI is required before reading this book.
July 6, 2025
A scattershot collection of AI-for-IT pointers that reads more like loosely assembled notes than a thoughtfully organized guide; aside from a handful of useful prompt-engineering hints, its jumpy structure and scant explanations left me flipping pages in search of a clearer roadmap.
Displaying 1 - 5 of 5 reviews