Practical, no-hype thinking on cloud and AI — what works, what to avoid, and how to get to production faster.
Most GenAI projects stall after the demo. Here's the engineering around the model — retrieval, evaluation, guardrails, and observability — that actually gets value live.
The handful of moves that reliably reduce cloud spend 30–50% — without slowing your teams down.
Beyond the buzzword: where autonomous, tool-using agents create real value — and how to deploy them safely.
We turn ideas like these into running, measurable solutions.
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