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AI Systems

Editorial dispatches on how real teams should evaluate, deploy, and govern AI systems.

Systems

Mar 21, 2026 25 min read

AI Will Not Take Your Job, But It Might Take Your Ability to Think

The real AI risks are not about capability. They are critical thinking erosion, organizational inertia, and a misunderstanding of both AI and security.

  • #ai-agents
  • #claude-code
  • #codex
Systems

Mar 21, 2026 7 min read

Build a Personal AI Assistant with Markdown Files and Zero Code

A starter kit of markdown files that turns Claude into a personalized work assistant -- no coding, no setup, just conversation.

  • #claude
  • #ai-assistant
  • #starter-kit
Systems

Nov 22, 2025 14 min read

I Monitored a Chinese AI Model for Bias. Here's What I Found.

GLM 4.6 monitoring revealed 12% geographic bias, narrative injection, and trust-building patterns. Empirical security research on lower-cost AI model behavior.

  • #ai-security
  • #bias-detection
  • #research
Systems

Nov 21, 2025 15 min read

Prompt Injection: The SQL Injection of AI (But Unsolvable)

Prompt injection is the defining LLM vulnerability with no parameterized query fix. Unlike SQL injection, it may be theoretically impossible to solve.

  • #ai-security
  • #prompt-injection
  • #vulnerabilities
Systems

Nov 20, 2025 12 min read

Why AI Security Broke Traditional InfoSec Playbooks

Traditional CISSP frameworks fail against prompt injection and unsolvable AI vulnerabilities. Here's why agility matters more than stability in AI security.

  • #ai-security
  • #infosec
  • #cissp
Systems

Feb 8, 2025 8 min read

MCP (Model Context Protocol) Explained for AI Practitioners

MCP is Anthropic's open protocol for connecting AI models to external tools and data. Here are the core concepts and why it matters for agents.

  • #mcp
  • #ai-agents
  • #model-context-protocol
Systems

Jan 30, 2025 4 min read

Durable AI-Agent Memory in a Homelab Repo with MCP Setup/Check Scripts

Use setup/check scripts and a Dockerized MCP memory server to keep agent context durable while avoiding secret leakage into repo memory.

  • #mcp
  • #ai-agents
  • #homelab
Systems

Jan 28, 2025 10 min read

10 Lessons from Building an AI Agent Security Lab

Lab lessons: prompt injection unsolvable, vendor lock-in is operational risk, agility is control. Breaking systems teaches security faster than theory.

  • #ai-security
  • #lessons-learned
  • #hands-on
Systems

Jan 27, 2025 11 min read

AI Security Challenges We're Not Ready For

Unprepared for autonomous agents, model poisoning, deepfakes, and AI arms races. Security frameworks, certifications, and playbooks lag behind capabilities.

  • #ai-security
  • #future
  • #predictions
Systems

Jan 25, 2025 10 min read

How to Structure Data for AI Without Creating Security Nightmares

Balance AI context with security: structured data, sanitization, RAG, and least-privilege. Practical patterns for safe AI without data exfiltration risks.

  • #ai-security
  • #data-architecture
  • #rag
Systems

Jan 24, 2025 10 min read

Building a Multi-Model AI System for Security and Agility

Multi-model architecture with Claude, GPT-4, and GLM enables rapid provider switching, cost optimization, and protection against vendor lock-in.

  • #ai-architecture
  • #multi-model
  • #sdk
Systems

Jan 23, 2025 12 min read

Vendor Lock-In is Your Biggest AI Security Risk

Cloud AI providers control your infrastructure completely. Multi-vendor architecture isn't optional; it's a security control for operational resilience.

  • #ai-security
  • #vendor-lock-in
  • #architecture