As a solo operator running a content platform with AI-driven features, I’ve learned the importance of building an architecture that’s scalable, compliant, and manageable without a large team. Today, I’m excited to share the architecture behind appA, a serverless platform hosted in AWS us-west-2, designed to support user authentication, content moderation, payment processing, and more—all
1. Why Every LLM Needs a Defense System Large Language Models (LLMs) like GPT-4, Claude, Mistral, Grok, and Amazon Bedrock have enabled a new generation of apps: immersive AI companions, virtual assistants, storytelling engines, interactive agents, and more. But here’s the problem no one wants to admit: Most people are sending raw, unfiltered user input
I initially used ChatGPT the way most people do—figuring out clever things to ask, solving math problem memes on Facebook, or just playing around. I didn’t truly understand how powerful it was until I read a Reddit post about someone using it to identify cognitive distortions in their thinking. I thought that was brilliant. At
Introduction Artificial Intelligence (AI) has rapidly become a tool for acquiring knowledge and sparking conversations on complex topics. However, as I recently discovered, there are limitations to how AI systems handle politically sensitive subjects. My experience with DeepSeek, an AI platform, highlighted how discussions around Taiwan and China are sometimes subject to unusual censorship. The
The Goal by Eliyahu Goldratt is a seminal book in the field of business management that explores the Theory of Constraints (TOC), a methodology for identifying and addressing bottlenecks in a system. While the book focuses on manufacturing, the principles of TOC can be applied to many different industries, including software development. In this post,