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…
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A résumé should work like a scientific paper: human-written prose for communication, machine-readable structure for discovery, and references that connect claims to evidence. As I once more hunt for my next paying gig (LinkedIn), I again face my nemesis:…
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…
StyloBot v8 lets a site give AI crawlers a controlled Markdown view of its pages at its own local edge, without ceding the gateway to a CDN. This piece is about the extractor that does the conversion (StyloExtract): the walker bug lucidVIEW caught, and the…
Bot detection should not stop at allow/block. This post shows how StyloBot's classification result becomes application logic in ASP.NET: tag helpers in Razor, action filters and policies in controllers, signal-level gating, so your UI can shape the experience…
Bot detection should not stop at allow/block. This post shows how StyloBot's classification result becomes application logic in TypeScript: server middleware for Express and Fastify, template helpers for Handlebars, Nunjucks, and EJS, and browser web…
Identity-based bot detection (IPs, user-agents, headers) collapses the moment automation starts rotating identities. StyloBot models clients as behavioural shapes in a 130+ dimensional vector space. Here's why that's the right level of abstraction for level-4…
How do you test a detector whose answer is supposed to change as it learns? This post is about BDF, the Behavioural Definition Format that makes StyloBot testable: one file defines a class of traffic, then drives regression replay, load generation, and a…
StyloBot's detection engine is ASP.NET Core. This post explains how that engine connects to Go gateways, Node.js applications, and any other stack via a gRPC sidecar, a typed Go SDK, and a Caddy plugin, without any of those consumers needing to know anything…
Long-running services tend to slowly drift toward unbounded memory. Here's how I find that drift, how I think about fixing it without papering over it, and a worked example from StyloBot's vector similarity layer that took it from 13 GB on the Large Object…
Heads up: this one is for the nerds. It's a deep technical dive into StyloBot's adaptive learning system (EWMA updates, hysteresis thresholds, verdict caching, variance watchdogs), with real code from Mostlylucid.BotDetection and pointers to the equivalent…
Well today was a BIT OF A DAY. I handed in my notice on one contract (been in it almost 2 years!) and my other contract decided to terminate...SO...at the end of May I'll be officially unemployed. It's an odd one...at the moment my body is filled with nervous…
Most software still assumes the world will hand it clean inputs and stable rules. Production usually does neither. This post is the through-line behind a bunch of things I've been building: DiSE, Constrained Fuzziness, CFMoM, Reduced RAG, StyloFlow, The Ten…
Enterprise bot detection shouldn't require a PhD in infrastructure (or thousands a month in expenditure to use!). Two lines of code, zero external services, and you're running (up to) 21 detectors in milliseconds on every request to every endpoint. Read Part…
Part 1 was the why. This is the show-and-tell tour of what StyloBot does that is rare in production bot stacks. Thesis: StyloBot models bot detection as a progressive, early-exit topology of behavioral signals, with response outcomes feeding back into scoring…
NuGet NuGet Downloads GitHub Release (CLI) In Part 1 I showed the raw pipeline: manually downloading models, writing a tokenizer, wiring up ONNX inference, and decoding BIO tags by hand. Educational, but a lot of plumbing to get right. Now it's a NuGet…
Hey everyone so I restarted the blog back in November and have been steadily puping out the articles but...it's got to the point where I've stopped enjoying it. The blog landscape has changed since I last did it, nobody leaves comments & performative sniping…
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