Insights
Notes from the field.
Things we have learned building systems that had to keep running. Written by the people who built them, which is why some of it is inconveniently specific.
Agent projects fail on the tools, not on the loop
Every framework gives you the same agent loop. What decides whether an agent works is the twelve integrations underneath it — and those are an old problem, not a new one.
AI Engineering · 6 min read
Drawing the approval boundary for an AI agent
Which actions an agent may take alone is a business decision, not a framework setting. Here is how we work it out before a line of agent code is written.
AI Engineering · 5 min read
What an AI readiness assessment actually covers
Four weeks, six questions, and one honest answer about whether to build at all.
Consulting · 6 min read
Adding an AI feature to a product that already has users
The constraint is never the model. It is everything the model has to fit into.
AI Engineering · 6 min read
RAG or fine-tuning: how we choose for a mid-market SaaS
The question is usually framed as a technical one. It is almost always an operational one.
AI Engineering · 5 min read
What thirteen years of healthcare software taught us about compliance-first design
Compliance treated as a final review is a rewrite. Treated as a design input, it is mostly free.
Engineering · 6 min read
Got a question one of these did not answer?
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