Build a better AI product with explicit classification

Dhruv Dang's newsletter explains AI classification, contrasting general-purpose models like GPT and Claude with purpose-built decision models such as Jev and Laya, and argues that explicit classification—making classification a separate step—gives teams granular control and flexibility over agentic workflows. A detailed example refactors an AI blogging agent so an intent-agent classifies each prompt into draft, save, publish, or unsupported requests, letting application code enforce rules like saving before publishing and route work to a sandboxed drafting-agent.