Effective Engineering Prompting 2026
How to design instructions, context, and control for RAG, support, call centers, assistants, orchestrators, and agents - without jailbreaks or spellbooks that outlived the models they were written for.
In 2026 a prompt is part of an executable contract, not pretty text, and you should treat it like code: with boundaries, checks, and versions.
We'll walk the whole path: from simple tasks like classification and extraction to RAG, support, voice assistants, orchestrators, and agents. Every chapter is not incantations but a breakdown of what makes a model behave the way it does and how to be accountable for it.
The book distills the primary sources of OpenAI, Anthropic, and Google into a single engineering picture. Links to the specific materials are collected in the last chapter.