Agents for Everyone are Here: Use Caution
Personal AI agents promise to take real work off your hands. As their capabilities and popularity grow, a few practical boundaries can help protect your accounts and private information.
Art as Espionage in Cold War America
This article by art historian Dr. Julia Tatiana Bailey examines the weaponization of visual arts during the Cold War, detailing how the United States and the Soviet Union utilized contrasting movements—Abstract Expressionism and Socialist Realism—as instruments of psychological warfare.
Building Robust AI Intelligence Processing Systems: Lessons from the Front Lines
Distinguishing genuine escalations from redundant reporting in ongoing crises demands nuanced AI analysis and careful architectural decisions to prevent critical intelligence from being lost.
I Taught an AI to Read My Logs (So I Don't Have To)
I developed an AI assistant that translates technical system logs into plain, understandable language. This transforms the tedious task of manual log scanning into a source of proactive, conversational insights.
Solving the Stale Knowledge Problem in AI Intelligence Analysis
With a little creativity, AI intelligence systems can overcome their fundamental limitation of frozen training data through curated knowledge bases and systematic verification processes that maintain factual accuracy in rapidly-changing geopolitical environments.
Effective AI Assessment Requires Real Experience
Understanding the disconnect between AI skepticism and real-world application: what hands-on experience reveals about AI's transformative potential that critics often overlook.
Beyond Parameter Count: Why Context Size Matters
Context window size deserves equal consideration alongside model parameter count in AI hardware planning—exploring the often-overlooked memory and computational costs that can make or break real-world application deployments.
KANBI: Evolved but Still Simple at Heart
KANBI has added multi-board support and integrated archiving while maintaining its core commitment to local data storage and interface simplicity. The tool now supports separate boards for different projects and contexts, with automatic local saving and streamlined export options for backup control.
Orchestrating Intelligence: A Primer on Automated Workflows with Multiple AIs
Overcome complex information challenges with AI teamwork. This primer explains how chaining specialized AI models creates more efficient, flexible, and intelligent automated workflows.
Model Deck: A Streamlined Single-File Interface for Ollama LLM Management
Model Deck offers a deliberate counterpoint to feature-heavy LLM interfaces—a single HTML file that streamlines interaction with local Ollama models while providing a solid foundation for custom extensions and experimental workflows.
Python Environment Management in the Era of Vibe Coding: Why It Still Matters
A practical framework of prompts for managing Python environments in the AI coding era, showing why proper environment setup remains crucial even as code generation becomes increasingly automated.
AI-Powered Threat Actor Personas
A practical guide to using AI personas based on detailed hostile actor profiles to simulate threats, test security systems, and enhance defensive capabilities across domains. These digital twins can help organizations identify vulnerabilities through the eyes of sophisticated adversaries.