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Insights & Ideas

Exploring the intersection of artificial intelligence, sustainability, and enterprise transformation

Your AI Training Cluster Thirsty? Let's Talk Water.

We ran the numbers: A 10k H100 cluster can consume 2 million gallons of water a month. Here is the math and the engineering fix.

Traditional SaaS is too slow for energy markets. We pivoted to 'Autonomous Organization as a Service'—software that works while you sleep.

Giving an agent 30 tools costs $0.45 per run. We implemented a 'Code-First Skills' pattern to drop that to $0.003.

Grid interconnection is the #1 bottleneck for AI. Google X's Tapestry project is trying to virtualize the grid to fix it.

News tells you what happened yesterday. Markets tell you what will happen tomorrow. We built an agent to trade on the difference.

Starting August 2025, mandatory environmental reporting kicks in for AI models. Most CTOs are completely unprepared.

We forced our AI agents to fight. The 'Bull' vs. The 'Bear'. The result was better decisions than any single model could produce.

Installed capacity is a vanity metric. LCOE is the only number that levels the playing field between solar, gas, and nuclear.

Grid carbon intensity varies by 3x throughout the day. We built a scheduler that pauses AI training when the grid is dirty.

We didn't want to pay for a Bloomberg terminal, so we wrote a 950-line TypeScript scraper that builds our own intelligence feed.

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