Intent Engineering reframes AI software development around product intent rather than source code. By combining conceptual integrity, executable specifications, AI synthesis, and adversarial cooperation, it creates a continuous validation loop where software is generated, challenged, corrected, and kept aligned with the original product vision.
This article is part of the broader series Product Development with Gen AI – Feedback Cycles, where I explore how different roles in product development contribute feedback loops that keep AI-generated outputs aligned with business…
This article is part of the broader series Product Development with Gen AI – Feedback Cycles, where I explore how different roles in product development contribute feedback loops that keep AI-generated outputs aligned with business…
This article is part of the broader series Product Development with Gen AI – Feedback Cycles, where I explore how different roles in product development contribute feedback loops that keep AI-generated outputs aligned with intent,…
TL;DR Gen AI becomes reliable not through better prompts, but through layered feedback cycles that continuously align outputs with intent. When working with Gen AI tools, one of the most persistent misconceptions is that success…