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After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished. We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do. I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier. That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences. That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more. In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant. To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks. Special thanks to @ManningBooks for giving our book a home.

After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished. We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do. I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier. That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences. That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more. In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant. To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks. Special thanks to @ManningBooks for giving our book a home.

After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished. We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do. I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier. That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences. That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more. In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant. To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks. Special thanks to @ManningBooks for giving our book a home.

After more than a year of work, @yashwanthsai29 and I have completed our manuscript for Mastering Agentic AI: Hands On Guide to Designing and Deploying Intelligent Agents Writing this book while the field was actively changing under our feet was genuinely humbling. Every few months something shifted: new protocols, new architectures, new failure modes we hadn't anticipated. We rewrote sections we thought were finished. We cut things that became obsolete before the ink dried. I think that pressure made the book better, because it forced us to focus on the principles that don't change rather than the tools that do. I want to say thank you to the builders, researchers, practitioners and friends across the AI community who shared their experiences with us, not just what worked, but what broke, what surprised them and what they wish someone had told them earlier. That kind of honest knowledge is hard to find and it shaped this book more than any paper or benchmark did. AI agents are no longer a research curiosity, they are running in production, making decisions, taking actions and touching people's lives in ways that carry real consequences. That is why we spent as much time on evaluation, safety and governance as we did on building. Getting agents to work is the easy part. Getting them to work reliably, fairly and within appropriate boundaries is the work that actually matters, communication protocols and more. In the coming weeks I will share more about the early access release date. I will also be posting threads on the practical questions this book tries to answer: how to build agents that achieve real goals, how to measure whether they are actually working, how to keep humans appropriately in the loop and how to ensure the systems you build are fair and compliant. To give back, I will be giving out five free copies to the AI community, will share more details in the  coming weeks. Special thanks to @ManningBooks for giving our book a home.