Ai

224 posts filed under Ai.

The 2026 data tooling is the best it's ever been. The bottleneck in most teams I see is still a leader who can't say, in two sentences, what …

Run your AI feature twice on the same input. If a different answer would be a problem, you've found a deterministic requirement.

Most teams collect everything "just in case," then try to add privacy when an audit looms. By then it's in 40 tables.

An e-commerce client's reporting ran on a spreadsheet one person updated by hand every morning. It broke every quarter, always at month-end.

The best data engineers move for ownership and a manager who can describe the strategy. A 10% bump alone rarely does it.

The team bought more tokens. The agent still gave confident, wrong answers. The bottleneck was never compute.

Nobody chose to keep 7 years of event logs. The default did. You've paid for it every month since.

The cheapest AI safety feature in 2026: "I don't have current data."

The cloud migration finished in March. By July the bill was 3x and nothing was faster.

Your pipeline failed at 3am. The on-call engineer is now paid to clean up duplicates.

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