Author: Brock Webb
The views expressed in this work are those of the author in his personal capacity and do not represent the views of any federal agency. This work was not produced in the author’s official capacity and does not constitute an official publication of any federal agency.
On the Speed of This Field¶
This field moves fast. Parts of this book will be outdated by the time you read it. Tools, models, APIs, platform capabilities will all evolve. That is expected, not a flaw.
This book is designed as a living document. The principles are durable; the examples and tool-specific guidance will be updated. The author chose to publish early and iterate rather than wait for a completeness that would be obsolete before it arrived. That is itself a design decision consistent with the book’s philosophy: deliver capability quickly, adapt continuously.
Today is the slowest pace of change you will experience. Starting now with imperfect knowledge beats waiting for a stability that will never arrive. The configuration control and provenance infrastructure in Chapter 10 exists partly to enable this: track what changed, understand the blast radius, update with confidence. The book practices what it preaches.
Read for the principles. Treat specific tools and examples as illustrations of those principles at a point in time.
On Purpose¶
Many excellent books teach how to build AI applications, how to engineer AI systems, how to ship products faster. This book serves a different purpose.
The audience for this book produces work that upholds the public trust. Official statistics, scientific research, evidence that informs policy: these carry a specific obligation to the public trust that shapes every design decision. Getting it wrong has consequences beyond a bad user experience.
That does not mean moving slowly. It means putting the checks and controls where they matter. It means designing systems where every component earns its place and can be defended. It means approaching these tools with the same rigor applied to any measurement instrument in scientific work.
The design discipline in this book exists because the stakes are different. Not higher or lower than commercial work, but different. The people learning these tools now are the next generation of AI-enabled researchers, statisticians, data scientists, and engineers. Teaching them to do it right, not just to do it fast, is worth the effort.
On How This Book Was Written¶
This book was written with the assistance of AI tools. The pedagogical decisions, domain expertise, audience framing, and all editorial judgments are the author’s. AI did execution work: drafting prose from detailed specifications, research assistance, citation verification, and build automation. The author did the authoring: deciding what to teach, how to frame it, what to cut, and what to validate.
A note on product references: this book occasionally names specific AI models, vendors, and tools where doing so is necessary to report methodology accurately or to ground design patterns in real implementations. These references reflect the tools available at the time of writing and do not constitute endorsement. The design patterns themselves are vendor-independent.
Acknowledgments¶
Throughout my career, I have been continually humbled and inspired by the generosity of others: those who shared their knowledge, offered honest feedback, and walked with me for portions of this journey. There are too many to name individually, and attempting to do so would inevitably leave someone out. You know who you are, and I am grateful. The only way I know to truly show that gratitude is to give back. This work is one small attempt to do so.