Notes from the work
Short, practical pieces on AI automation, where AI pays off, building with Claude, and turning prototypes into products. Written by the people who do the work.
Why most AI pilots die after the demo, and the two things that keep them alive
The demo goes well. Everyone nods. Six weeks later nobody is using it. The failure is almost never the model. It is two missing decisions that should have been made before the build.
Read →Where AI pays off first in a professional services firm
Law firms, accountants, recruiters and advisors all run on the same four kinds of work. Three of them are worth automating now, and the order matters more than the tools.
Read →What an AI automation agency actually does
The phrase gets used for everything from a chatbot widget to a full operations rebuild. Here is what the work is, what it is not, and how to tell the two apart before you hire anyone.
Read →From a Lovable prototype to a product that passes diligence
The prototype did its job. It got you customers and a term sheet conversation. Now it breaks weekly and a reviewer is coming. Here is the rebuild that works, and the one that does not.
Read →Claude or ChatGPT for business automation: how we choose
We build on both. The choice is rarely about which model is smarter. It is about documents, instructions, tools, data handling and where the model can run.
Read →Rather talk about your own workflow?
Tell us what you have in mind. We'll come back with the highest-ROI path to get there.
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