some thoughts on working with ai models • context as infra • taste as config • verification for autonomy • scaling via delegation • closing …

This post discusses practical frameworks for working with AI models, covering how context serves as infrastructure, taste functions as configuration, verification enables autonomous systems, and delegation supports scaling. The piece likely addresses best practices for prompting, model customization, reliability assurance, and organizational patterns when integrating AI into workflows.

Source: Swyx (X) | 2026-05-06