Essays on decisions, realizations, and convictions.
The first coding agent I've tested that calls image and video generation as a native tool, not a separate step for the human to run.
I've been testing Grok Build, xAI's website-building agent, for OUTURE's model-fit work. I expected a code-generating loop in the GPT-and-Cursor lineage, with the human responsible for the visual gaps. That isn't what I got. Grok Build is the first agent I've used that treats image and video generation as a native tool call inside the build loop, not a step the human runs on the side.
Reuters and the New York Times documented industrial-scale misuse of Grok Imagine in late 2025; xAI walked the consumer-facing rails back. Grok Build shipped four months later with the pre-crackdown posture intact.
Between late December 2025 and early January 2026, the New York Times documented 4.4 million Grok-generated images, of which at least 1.8 million were estimated to be sexualized deepfakes of women. xAI spent the next four months tightening the consumer-facing rails on Grok Imagine under coordinated regulatory pressure. Then on May 14, 2026, they launched Grok Build, the coding agent, in early beta. In OUTURE's testing, the content posture inside the build product is the pre-crackdown one, not the post-crackdown one. That changes what procurement, legal, and brand teams need to know.
A rebrand earned by nine years of shipped infrastructure, paid for four weeks later with a 1,100-person restructure framed as the same thesis.
Cloudflare's homepage title now reads "Build for the agent era." Four weeks after the launch, the company cut about 1,100 jobs and framed it as an "agentic AI-first operating model." The two halves of the claim arrived together. Most AI rebrands don't.
An organizational behavior case study. What AI did, and didn't do, to help me deliver the message.
Leadership wanted a mentoring program to fix retention. The data pointed somewhere else. Saying it without making them hear "you failed" was the actual project, and the place AI both helped and got in the way.
What building an AI ethics consultant taught me about what LLMs can and can't do in moral reasoning.
I built an AI ethics consultant and tested her against a real hospital dilemma. She helped, but only in the specific ways I learned to use her for. Where she failed is where the rule lives.