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StyloBot Release Series: StyloExtract - a local learning HTML to Markdown converter

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…

StyloBot Release Series: Behaviour-Aware ASP.NET UI

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…

StyloBot Release Series: Behaviour, Not Identity

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…

StyloBot Release Series: Testing the Thing That Won't Sit Still

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 Release Series: The Sidecar Architecture

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…

StyloBot Release Series: Finding and Fixing Unbounded Growth in Long-Running .NET Services

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…

Behavioural Inference: How I Learned to Stop Worrying and Love Probabilistic Systems

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…

StyloBot: As Simple As Possible And No Simpler (Part 3)

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…

StyloBot: How Bots Got Smarter - The New Frontier in Bot Detection (Part 2)

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…

MCP Is a Transport, Not an Architecture

"How do I build an MCP server?" is the wrong question. SDKs exist. An LLM can scaffold one in seconds. The real question is: What role should an MCP server play inside a system that must not lie? The scarce skill now is designing the system around MCP:…

Page 2 of 5 (Total items: 46)
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