I've been writing about systems whose interesting behaviour happens over time. A shopper compares something, adds it to their basket, then disappears. A gateway observes a request, accumulates evidence, and decides whether the origin application should ever…

“How do I vectorise this?” This is an optional bridge between Part 1 and Part 2. It focuses on producing coordinates for properties we cannot read directly from a database field or event counter. Take a voice message. Is this message aggressive? The transcript…

In Part 1, we looked at how to characterise an entity. We chose observations, encoded the relationships we cared about, and used vectors and centroids to summarise what we had seen. That entity could be a shopper, a service or a device. Now we can ask the next…

You buy a kettle, and the shop spends the next fortnight recommending kettles. You browse a birthday present, and suddenly your entire personality is scented candles. Meanwhile, the thing you actually came back to find is three pages down. Recommendation…

This is the next instalment in both the StyloAgent and GEPA article series. It continues The StyloAgent Workflow, Part 2 and Evolving Decision Policies with GEPA and Decision Models, bringing persistent agent coordination and evaluated policy evolution…