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…
The first form extracts perfectly. Then the address moves, the label changes, or the next document calls it something else. We add another rule. This series explores how to retain what those exceptions teach us: the structure we want, the evidence that…
In the first StyloMail article, I used Jev to ask specific questions about email and get typed, probabilistic answers back. Nimble, from Bespoke Labs, brings that technique to a model I can host myself through Ollama. From C#, I can send the same kind of state…
Bit of an odd one today; thought I'd share how I spec new work. The text below is NOT an article, it's a research paper which I'll convert to a spec. I spent about 3 days so far on the idea. See Part 1 for how this started. Part 2 covers using Nimble from C#,…
Yes, I'm getting on the Jev bandwagon. I wanted to see how far I could get using it to build a behavioural spam-blocking proxy in .NET Core. Something that looks at mail in both directions: what arrives in your inbox, and what leaves an account that might have…
The same four-part shape keeps appearing across StyloBot: establish a base, retain the useful delta, measure drift, and consolidate when the evidence warrants it. Compression is not a component; it is a property of the whole system. The behavioural model…
Part of the Stylo.Bot release series. Behaviour-Aware ASP.NET UI covers the server-rendered dashboard surface; Finding and Fixing Unbounded Growth covers the reliability discipline behind bounded state; Learning to Get Faster covers the earlier adaptive-cache…
Part 1 was the shape of the thing. This part is what it does. A model only earns its keep under real work : dropping the fleet on a codebase it has never seen, pushing one change across repositories, and keeping a decision trail that survives a restart. This…
This is Part 1 of two : the problem and the StyloAgent model. Part 2 : The Workflow in Practice applies it. Code generation stopped being the problem a while ago. The models write good code. They follow the conventions in the file they are editing, and if you…