Blog
Writing on context.
What a model needs to read before its answers mean anything.
Every post, newest first.
ManifestoFrom Signals to Causes: What AI Investigation Needs
Signals tell you that something moved, but rarely why. Try to find the cause of one incident from its signals alone, then take three questions into your next vendor call.
EngineeringWe Benchmarked Jev Against Our Own Classifiers. Every Router Stalled at 70%.
We set out to replace five LLM classifiers with a model built for the job. It was 15x faster and up to 44x cheaper - and no more accurate. Tracing all 507 decisions showed why, and the answer was sixteen text files none of us had read.
EngineeringThe Three Meanings of "Nothing" in AI Agent Tool-Calling
Mid-investigation, a tool call comes back empty. One agent retries endlessly. Another reports a failure. A third keeps searching across every data source it can find. Same empty response, three completely different problems.
AIYour AI Strategy Is a Data Strategy Wearing a Costume
Most companies think they have an AI problem. They don't. They have a data problem - messy pipelines, no context, garbage semantics - and they're throwing models at it hoping nobody notices.