How an Agent Finds Your Docs, and Which Files It Actually Reads
Five file conventions claim to be the standard for AI agents. Here is what each one answers, who really reads it, and the evidence behind both claims.
Retrieval and RAG08
Subject · 7 posts
agents
Open Knowledge Format, Explained in Plain Words
OKF is a folder of markdown files that tells an AI agent what your data means, who wrote it, who checked it, and when it stops being true.
Retrieval and RAG05
LLM Security in Practice: A Checklist and the Mindset Behind It
The whole series as a checklist, plus the one habit that generates it: assume the model is compromised, and design so that assumption is survivable.
LLM and Agent Security06
PageIndex: Retrieval With No Vectors At All
PageIndex indexes a document as its own table of contents and lets a model walk the tree. No embeddings, no chunking, and a route you can show a reader.
Retrieval and RAG04
The Agent's Blast Radius: Giving a Confused Deputy Hands
A chatbot that is wrong is embarrassing. An agent that is wrong took an action. The security of a tool-calling agent is the security of what you connected it to.
LLM and Agent Security03
Prompt Injection: Direct, Indirect, and Why Filtering Fails
The signature attack on language models. How instructions hide in the text a model reads, why you cannot filter your way out, and what containment looks like.
LLM and Agent Security02
Why AI Security Is a New Problem: The Model Has No Data Channel
Every security bug in the last series was data mistaken for code. A language model makes that its whole way of working: to it, all text is instructions.
LLM and Agent Security01