The AI industry’s new focus on practical deployment deserves an audit of the promises, costs, and production results that came before it.

AI swarms can manipulate attention and hide who is coordinating a campaign. Social engagement still cannot tell us what the broader public believes.

Model Context Protocol gives AI tools a shared way to expose actions and data. Its adoption changes architecture decisions developers can make today.

AI agents earn their keep on narrow workflows with clear escalation rules. Production value comes from handling routine work without hiding the exceptions.

AI made small software cheap to build. The constraint moved to choosing projects that save enough time, money, or frustration to justify their upkeep.