Designing enterprise AI systems to make humans happier
Oct 19, 2026 - 7 minute read
Every new AI user starts with the same questions. Can it do this? How do I get it to do this? How do I explain what I want? Those are Old Days questions, left over from a world where the person with the idea had to wrangle every tool and every handoff before anything got made. The people getting the most out of AI have quietly stopped asking them, and they now spend their words on what the world should look like when the work is done.
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Oct 13, 2026 - 4 minute read
Most businesses are using AI. Very few have AI working for them. The typical setup is a ChatGPT or Claude subscription that somebody on the team pokes at when they need a draft or a summary. That is the starting line, not the finish line. Going from manual prompting to AI that delivers real results on its own takes four steps.
Oct 10, 2026 - 7 minute read
Most operators treat their AI agents like day laborers: clock in, work together, clock out. The agents sit idle all night while the human sleeps, eight hours of the most expensive intelligence on the planet doing nothing. The fix is dead simple: every day before you leave your desk, kick off your biggest, most ambitious task on your heaviest model. Wake up to finished work. The night shift is free leverage.
Sep 23, 2026 - 7 minute read
Every program has infinite bugs. Newer coding agents treat that infinity as a dare and try to guard against all of it. The result is code wrapped in so many null checks, try-catches, and silent defaults that the real logic disappears behind the scaffolding. Defensive programming used to be a discipline. Agents turned it into a compulsion.
