Author Paris Marx Discusses Data Center Opposition
Paris Marx, author of Hyperscale, has been tracking global data center development for years. The US has a lot to learn from what’s happened everywhere from Ireland to New Zealand.
AI and the production of content
Paris Marx, author of Hyperscale, has been tracking global data center development for years. The US has a lot to learn from what’s happened everywhere from Ireland to New Zealand.
Donating Agent Skills to the Agentic AI Foundation News today from Anthropic: We’re committed to keeping Agent Skills open, community-driven, and vendor-neutral. Today, we are donating the standard to the Agentic AI Foundation (AAIF) under the Linux…
Learning how to identify content gaps for AI visibility starts with a question that traditional content gap analysis doesn’t always answer: where could a brand contribute something useful to an AI-generated answer, but isn’t being mentioned or cited?
For most teams, the answer to “which prompts should I track?” is this: track a representative sample of branded, unbranded, and competitor prompts across buyer stages, personas, and priority markets. Don’t fall into the trap of tracking everything.
Your AI agents may follow instructions perfectly — and still get things wrong. The problem could lie in the documents they rely on.
AI draws on creator reviews, product experiences, and consumer sentiment to inform recommendations. Here's why that matters for brands.
Tool: Quick Study Prompt to Claude Opus 5.5 High : Build an artifact where you open a photo and it rapidly (in a few seconds) paints a version of that photo using a canvas element and simulated paintbrush See also my previous experiment getting Claude Fable…
The daily briefing
Today’s news explained through the Marketing Blueprint, with every source linked.