John W. Little (Page 3)

It's About the Workflow

It's About the Workflow

Master the art of working with AI language models by learning to provide strategic context and craft powerful prompts. This guide offers practical techniques for transforming LLMs into specialized assistants that deliver exactly what you need.

Echoes of You

Echoes of You

A couple navigates the complexities of connection in an apartment filled with memories, unaware that their relationship has fundamentally changed, with technology bridging the gap between presence and absence in ways neither could have imagined.

Building Effective Prompts for Intelligence Reports

Building Effective Prompts for Intelligence Reports

Structured prompting techniques like XML tags, templates, and validation rules ensure intelligence reports maintain consistent formatting despite variable inputs. These methods create a robust framework that standardizes outputs while handling diverse data quality and completeness.

Using LLMs to Write Analysis

Prompt Engineering

Using LLMs to Write Analysis

LLMs transform strategic analysis by quickly synthesizing complex data into actionable intelligence. Organizations can generate and automate precise reports that cut through information overload, delivering essential insights for decision-makers in government, diplomacy, and business.

Rapid Response: How Rocket Cargo Could Reshape Military Logistics in the Taiwan Strait

Rapid Response: How Rocket Cargo Could Reshape Military Logistics in the Taiwan Strait

The Air Force is moving toward testing rocket-based logistics that could deliver supplies to anywhere on Earth within hours. In scenarios like a Taiwan blockade, this technology could be a game-changer.

Ollama on Mac Silicon: Local AI for M-Series Macs

Ollama on Mac Silicon: Local AI for M-Series Macs

Run powerful AI models directly on your Mac with zero cloud dependency. This comprehensive guide walks you through Ollama, showing how to leverage Mac Silicon—from M1 to M4—to run local language models privately, quickly, and efficiently.

Between the Lines

Between the Lines

Two veteran intelligence officers, disillusioned by the decline of their craft, share a candid moment lamenting how modern analysis has devolved into repackaged news with experience replaced by screen-scrolling and confidence matrices, burying valuable intel beneath an avalanche of mediocrity.

AI Will Transform Business Faster Than Previous Technologies

AI Will Transform Business Faster Than Previous Technologies

The accelerated adoption of AI will transform business faster than previous technological revolutions, creating new professional roles and organizational structures while reshaping industries in uneven waves over the next 5-10 years instead of decades.

Using LLMs to Unify and Enrich Data Across Multiple Sources

Using LLMs to Unify and Enrich Data Across Multiple Sources

LLMs can unify and standardize threat data across disparate sources without complex integration projects. Learn practical approaches for seamlessly combining threat feeds, logs, and incident data into enriched intelligence.

Extending Metadata with LLMs

Prompt Engineering

Extending Metadata with LLMs

Practical techniques for using language models to automatically extend your metadata—identifying entities, extracting locations, and adding context that traditional methods miss. Learn how LLMs can transform basic datasets into rich, interconnected knowledge bases without complex manual tagging.

Fun with Python and Cursor

Fun with Python and Cursor

I tested Cursor's AI tools to simplify Python app creation. While coding knowledge is still necessary, Cursor significantly reduced complexity for me. My first project was a Korean Diary assistant powered by Claude 3.5 Sonnet that translates and breaks down Korean grammar and vocabulary.

Dialogue Is the Best Teacher

Dialogue Is the Best Teacher

For those new to AI, direct dialogue provides the most intuitive way to understand these systems' capabilities. Through thoughtful conversation with varied prompts, beginners quickly develop a feel for how AI models think and respond—revealing insights impossible to gain any other way.