Mark Warrick 
Imagine handing a stranger a jerry can of rocket fuel and a book of matches, then walking away. That’s roughly what a lot of companies did to their own teams over the past couple of years, except the stranger was a chatbot and “walking away” was a Slack message that said “go wild, use AI … Read more
70% of employees use ChatGPT without employer knowledge, risking $4-10M breaches. Compare costs: Enterprise APIs vs. Private LLMs. Data-driven analysis.
Part 1: Traditional Development Baselines Before we can measure the impact of AI-assisted development, we need to establish what “normal” looks like in traditional software development. These baselines vary by team maturity, domain complexity, and technical debt load, but understanding these ranges gives us the foundation for meaningful AI comparison. Code Quality Metrics Traditional development … Read more
The evolution of cooking technology offers a remarkably clear view of how innovations layer rather than replace, each finding its niche rather than destroying what came before. And it provides an unexpectedly apt framework for understanding how AI is currently integrating into our work and lives. Consider the microwave’s arrival in homes during the … Read more
The debate between Progressive Web Apps (PWAs) and Native Apps extends far beyond technical implementation. AI-powered development tools promise that anyone can build apps now, making technical expertise seem obsolete. But this promise comes with hidden costs, security risks, and dependencies that non-technical users don’t discover until it’s too late. While developers focus on coding … Read more
AI builds what you ask for. A business analyst helps you figure out what you should be asking for.
As artificial intelligence reshapes how consumers discover and purchase products, retailers face a critical infrastructure decision: how to make their content accessible to large language models. The llms.txt file—a standardized format that helps AI systems find and present targeted content—has emerged as an essential tool. However, the technical realities of AI training cycles mean retailers … Read more
It’s midnight. Somewhere in a coffee-stained basement, a figure hunched over a glowing screen is *not* breaking into the Federal Reserve. No, tonight’s mission is more ambitious: tricking Rob, the semi-sentient Resume Sorting Algorithm who stands between them and the temp job at DeadCo Corp. This is the underworld of ATS hacking—where resumes become malware … Read more
Briefing: How Artificial Intelligence Models Work Executive Summary This document provides a comprehensive overview of Artificial Intelligence (AI) models, synthesizing their fundamental concepts, operational lifecycle, key challenges, and future trajectory. AI enables machines to perform tasks requiring human intelligence, primarily through Machine Learning (ML) and Deep Learning (DL). ML algorithms learn patterns from data without … Read more
Agentic AI: The Rise of Autonomous Systems The most significant trend in 2025 is the emergence of agentic AI – autonomous AI systems that can plan, reason, and execute complex tasks with minimal human oversight[1][2]. Unlike today’s chatbots and assistants that require constant prompting, agentic AI can work independently to complete multi-step workflows[1]. Deloitte predicts … Read more