Ideas from
the work.
Experience-based perspectives on AI, technology decisions, infrastructure, and the operational work behind lasting change.
Hype is making your AI decisions (and it decides badly)
A big share of bad AI investments don't come from bad technology, but from decisions built on wrong ideas: inflated expectations, fear of falling behind, and demos that aren't products. The misconceptions we see most, and how to decide better.
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The inverted revolution: AI adoption is happening from the bottom up
Every previous technology wave entered companies from the top: leadership bought it, then pushed people to use it. AI came in the other way around: your team already uses it. That completely changes what managing change means.
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What is a fractional CTO, and when do you need one?
A fractional CTO is senior technical judgment on your side of the table, for a fraction of the time and cost of a full-time hire. What they do, the signals that you need one, and when it is not the answer.
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"I pay a ton of money and things still don't work"
It is the sentence we hear most often in first meetings with clients. It is almost never a budget problem: it is a problem with how the relationship with your technology vendors is set up. Here is what we see, and what you can do about it.
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Why we stopped mocking databases in integration tests
We burned an afternoon chasing a migration bug that mocked tests had cheerfully approved. Here's the policy we shipped instead, and the cost-benefit it implies.
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The evals you actually need before shipping an LLM feature
Most teams either over-engineer this (full eval framework, dashboards, three contractors) or under-engineer it (vibes). Here's the minimum we ship with.
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Akamai vs Cloudflare for LATAM traffic: a 90-day side-by-side
We ran the same Costa Rica e-commerce site on Akamai (via Linode) and Cloudflare for three months. Here's where each one earned its keep, and where it didn't.
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