Field notes on AI strategy, enterprise technology, and systems that actually ship
A candid look at the three systems behind Cardinal Element's advisory work: 7 executive agents, 18+ tool integrations, 49 coordination protocols across 8 categories, and a blind LLM-as-judge evaluation framework.
A nod to the U.S. Olympic hockey win, and a clear look at where AI agents are headed: interactive METR data shows autonomous work horizons doubling about every 123 days through 2029.
GPT-5 is not magic, and it is not AGI. It does bring tighter adherence, better voice, and a cleaner coding sandbox. A step forward, not a moon landing.
Claude Opus 4.1 lifts SWE-bench Verified coding accuracy to 74.5%, up from 72.5% in Opus 4, with measurable gains in multi-step reasoning and data analysis.
Gemini Pro 2.5 breaks down how Gemini 2.5 analyzes YouTube video and why OpenAI o3 falls short there. The real story: Google's data advantage is hard to ignore.
A simple meditation became an immersive visual journey through a carefully orchestrated AI workflow. The result still surprises me.
To learn how to prompt Google's Veo-3 video model, I ran a bake-off between leading AI assistants. Same assignment. Very different instincts.
A practical assessment of the best tools for builders who want to ship software without living inside an IDE.
The AI gold rush makes hard value hard to spot. I dug through OpenAI's enterprise case-study compendium and pulled out seven themes worth watching.
Ten slides can raise $50 million when the story lands. This piece explores how generative AI can sharpen that storytelling craft.
Complex contagion research changes how we understand network behavior: big ideas rarely spread from one exposure alone. They need reinforcement, context, and the right social structure.