AI Engineering Visualized, Volume 1: Foundations

You got the demo working. Now it has to work on Monday. AI Engineering Visualized is for developers who have to ship features that call a language model. A model is one box; a product is the whole diagram around it. This book draws that diagram, box by box, as hand-drawn doodles you can remember and reuse when you design or debug. Every idea is a named mental model, such as The Context Suitcase, The Citation Gate, The Golden Set or The Trojan Ticket, with a picture, a plain definition, a failure you can trigger and the fix. One assistant, built chapter by chapter. You build a support assistant for Northwind Goods, a fictional online store. It starts as one prompt answering "Can I get a refund for order #1234?" and grows into a system that:

• decides refunds with rules in code the model cannot argue away
• counts its tokens and checks its own output against a contract
• calls tools, then searches a handbook and answers with citations
• says "I don't know" when the pages don't cover the question
• measures itself with evals before every change
• runs an agent loop with step limits, permissions and human approval
• retries failed calls, masks personal data and logs every request for replay

Real code, no API key. Every chapter has short Python examples from the free companion repository (MIT licence, Python standard library only) and an exercise with a tested solution. The examples run on a scripted stand-in model, so they cost nothing; swap in your provider with one function when you are ready. Who it's for: backend and full-stack developers, data engineers asked to "add AI", and technical founders. You need to read Python. You do not need a machine learning background. Who it's not for: readers who want to train models from scratch, or a catalogue of today's model prices and rankings. Prices and model names change too fast; the book shows you how to measure instead. Complete edition: all 24 chapters. All 24 chapters of Volume 1 are in this edition, fully illustrated.