Welcome to Herd Mentality

A decompose-then-verify pipeline that checks each claim in an AI output against its source document, and an honest look at what the RAGTruth numbers actually say about it.

Creating a neural network using base R

Extending Bayesian Networks to model time series

How to use your existing Notion kanban board as the cockpit to manage your running AI agents, demonstrating human intervention and agent memory across runs.

How probabilistic network structures can be learnt from data

The Ceiling of my vibes: Building a Game with LLMs when you are not a game developer

Implementing spectral clustering from scratch in R

Fine-tuned MiniLM exported to ONNX and run inside an existing Spring Boot app. No vector DB, no Bedrock per query, no GPU. The post I needed when I started.

How I built a two-mode spatial decision support tool that lets health planners ask plain-English questions about GP coverage gaps and get optimised facility placement recommendations with briefing-quality narrative.

How I built a one-click Slack shortcut that turns incident threads and Q&A chains into structured Confluence KB articles using the Claude API.