Prompt: "reason step by step"
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Turning research into products people actually use.
Picked things I'm genuinely into.
Thoughts on AI, leadership, and where this is all going.
The tools I reach for every day.
A plain explanation of the Transformer paper: what queries, keys and values do to a sentence, why word order has to be added back, and why the design won.
Git versions files, but a coding agent accumulates processes, packages, sandbox state and a warm cache that a checkout can't restore. Shepherd makes every agent step a reversible commit, so a supervisor can catch bad changes before they land.
Cutting tool-output tokens can raise your AI agent bill instead of lowering it. Why prompt caching means token reduction isn't cost reduction, and what to measure instead.
