John W. Little

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Effective AI Assessment Requires Real Experience

Effective AI Assessment Requires Real Experience

An examination of why the most vocal AI critics often lack practical experience with the technology they condemn, focusing on how uninformed criticism misses the sophisticated deployment strategies that make AI systems genuinely useful in professional settings.

Beyond Parameter Count: Why Context Size Matters

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: 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

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: 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

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

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.

The Thousand-Eyed Room

The Thousand-Eyed Room

A digital interviewer extracts vital intelligence from an unsuspecting agent while analyzing every micro-expression and physiological response—revealing truths he never intended to share. In the shadowy world of modern espionage, technology sees everything while appearing merely human.

Supercharging Ollama: Mastering System Prompts for Better Results

Supercharging Ollama: Mastering System Prompts for Better Results

A practical guide to using system prompts with Ollama, featuring implementation methods and ready-to-use examples that significantly improve model outputs for coding, SQL generation, and structured data tasks.

How to Use AI to Make Sense of Your Home Firewall Logs

How to Use AI to Make Sense of Your Home Firewall Logs

A practical guide for decoding home router firewall logs using AI tools, with real examples to identify threats, fix connection problems, and enhance network security—designed to build your technical knowledge along the way.

The American (2010): A Psychological Analysis

The American (2010): A Psychological Analysis

Corbijn's stark thriller follows a solitary operative's final days in Italy, where a life of professional detachment encounters the possibility of connection only at its end.