Notes from inside real operations.
We build AI systems inside other people's companies for a living. This is what we have learned doing it, written plainly. No hype, no listicles, no invented numbers.
Top 5 prompts for Claude Fable 5: run them in order, get a scoped AI project
Prompt lists treat prompts like recipes. These five are a sequence. An hour with Anthropic's new model and you are holding a mapped workflow and a pilot you could actually start.
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Build vs buy AI: the question that is actually wrong
Everyone is asking whether to build or buy. The honest answer is that neither matters if your team never adopts it. Here is the question we ask instead.
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We bought the AI tools. Nobody uses them. Here is why.
Most companies can use AI but only a fraction do. The gap is not training. It is that the tool was never built around how the work actually happens.
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How we automated invoice-to-PO matching in six weeks
A first-hand account of one real build: what we mapped, what we built, and exactly where we kept a human in the loop.
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What a Forward Deployed Engineering firm actually does
It is the role every AI lab is now hiring for. In plain English, here is what it means when a firm embeds, maps, builds, and supports.
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Tell us one process that is slow, manual, or broken, and we will show you what it looks like running differently.