This book is for people building AI agents who want to know whether the work will still matter when it's done.
What's left of your code when the model underneath it changes?
Chapter 1 starts with what already happened: early AI services whose core features became standard in ChatGPT, Claude, and Gemini.
If you'd rather know what will last than learn one more implementation trick, it's in this book.
Five chapters name the patterns behind technically stranded AI projects and make the case for disposable, loop-driven code over hand-crafted permanence.
About 6,700 words, PDF and EPUB, one-time purchase.