Scheduled AI as a System (Part 6): The Hidden Layer - How AI Actually Uses Your Data
RAG, embeddings, and vector databases are what make AI useful with real data. Here’s how that layer works in modern systems.
#ai-systems
9 posts
AI as a System (Part 8): AI as Infrastructure - Where This Is All Going
AI is shifting from a tool to infrastructure. What that means for systems, teams, and how we design and operate software.
OpenAI vs ChatGPT: Understanding the Models, Products, and Ecosystem
A practical guide to understanding OpenAI’s models, ChatGPT, subscription tiers, and the evolving AI ecosystem behind modern AI workflows.
AI as a System (Part 7): The Real AI Stack (For Builders)
How models, interfaces, agents, and data come together into real AI architectures you can actually build and reason about.
AI as a System (Part 5): Agents - When AI Starts Doing Instead of Answering
AI agents are the shift from assistance to action. Here's how they work and why they’re changing how we build and operate systems.
AI as a System (Part 4): From Interfaces to Execution
Execution is the shift from AI suggesting actions to actually performing them. Here's how that changes everything.
AI as a System (Part 3): Why AI Feels Different in ChatGPT, Cursor, and Copilot
The same AI model can feel completely different depending on the interface. Here's why tools like ChatGPT, Cursor, and Copilot behave so differently.
AI as a System (Part 2): What AI Models Actually Are
What AI models actually are, how they work, and why GPT, Claude, Gemini, and others behave differently.
AI as a System (Part 1): AI is a Stack
AI is a stack. A clear, systems-level breakdown of models, tools, and agents to make sense of modern AI.