AI for business and product covers the application side of language models: how PMs, founders, and operators integrate AI features into existing products, evaluate ROI, manage vendor risk, and decide what to build vs what to buy. The category is less technical than AI engineering but moves equally fast — what was a defensible AI startup in 2023 became a one-prompt feature inside ChatGPT or Claude in 2024.
The decisions covered here are the ones operators actually make: pricing AI features, building moats around prompts that competitors can copy in minutes, vendor selection between OpenAI / Anthropic / Google / open-source, and structuring data so models can use it without leaking sensitive context.
