~ 17 min read
The Practical Second Brain: Building an LLM-Operated Markdown Knowledge Graph
A hands-on guide to the files, schemas, workflows, governance, and maintenance routines behind an AI-assisted second brain.
Tag: llm
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~ 16 min readBuilding a Second Brain with LLMs and AI Agents
How a plain-Markdown knowledge graph becomes a durable context layer, operating system, and compounding productivity tool for AI-assisted work.
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~ 16 min readIs Prompt Injection an Unsolvable Problem in AI?
Prompt injection is not a bug you patch but an architectural limit baked into how LLMs process language. This post traces the problem from Gödel and Hofstadter to modern jailbreaks, agent skill supply chains, and why defenders must shift from elimination to survivability.
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~ 12 min readLLM Security Automation Isn’t a Drop-In Scanner Yet
An LLM Security Scanning and Review is a strong assist but a weeak gate. Why a `/security-review` slash command or agent harness is not a drop-in replacement for deterministic scanners yet: nondeterminism, confabulation, latency, cost, exploitability of generated code, and findings variance—grounded in how agent loops work and what BaxBench measures.
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~ 5 min readGamifying the Future of Skill Development: From Open-Source Security to LLM Prompt Injection
Gamified learning is a great way to engage developers and teach them new skills. I share my experience building a game to teach developers about open-source security, playing Lakera's LLM prompt injection game and cheering for Israeli gamified learning startup Wilco.
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~ 3 min readWhat is an LLMs.txt File?
Building with Large Language Models (LLMs) requires context and metadata. The `llms.txt` file format is a simple text file that provides LLMs with relevant context and metadata.