Updated - 27 October 2026. Original was published Nov 2025 - Corrected bundle options and added current EF Core 9/10 guidance, Aspire integration and clearly marked EF Core 11 preview features. See the errata at the end for corrections to the original version.…
COMING SOON - Working on the nuget package, stay tuned! In Part 4, the recommendation became an intervention. We characterised a proposed change, applied it under an experiment and learned from the observed response. An email could be a candidate in the same…
The “mind control” in the title is a joke about a familiar ambition: put the right thing in front of someone at the right moment and change what they do next. Most of us have ignored enough perfectly timed marketing emails to know how unreliable that ambition…
In Part 2, we turned an entity's characterisation into recommendations. We could watch a session change, find eligible products, and explain which representations contributed to the ranking. Now we want to use that history to answer a more useful business…
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…
In the previous part, we checked whether generated prose contains an answer and whether evidence supports its claims. We kept those checks separate from whether the answer reads well. Now suppose those checks keep finding the same mistakes: assistance becomes…