Latest posts
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What RAG Can and Cannot Do — When You Actually Need an Ontology
“Isn’t RAG enough? Do we really need an Ontology on top of it?” We get this question a lot. This article tries to answer it honestly. It isn’t here to trash RAG and sell you an Ontology — it’s here to draw the line between what each one can actually do and where it stops […] -
What Does Palantir Actually Sell? Not Stock, an Ontology
One thing up front: this article isn’t about Palantir’s stock price or an investment call. This blog doesn’t cover investing at all. Instead, for readers who landed here by searching “Palantir,” this is a practitioner’s explanation of what the company actually builds and sells. The short version: Palantir is less an “AI company” than a […] -
What Is a Multi-Agent System? Getting Agents to Collaborate
Summary — Up to now, this series has been about getting the most out of a single agent. But once a task grows large enough, one agent runs out of context, or collapses under the weight of juggling different roles (research, execution, verification) inside one process. This article covers the basic structure of a multi-agent […] -
Building an MCP Server: Connect Claude to Your Internal Systems
Summary — In Part 1 we touched on MCP (Model Context Protocol) only briefly, as “the standard interface that lets an agent connect to outside tools and data.” This article goes further and actually builds an MCP server, so that Claude can reach into your internal systems — internal APIs, databases, files. If you’ve already […] -
Palantir Is Expensive. Here’s Why We Use It Anyway
A practitioner’s TCO-based framework for deciding whether Palantir is worth its price: integrated platform vs. tool sprawl, why better LLMs don’t remove the need for an ontology, and whether you can build one yourself.