-

Why Your Chatbot Breaks on Typos and What Actually Fixes It
A single misspelled word can silently degrade an LLM application’s output. Here’s what’s actually happening under the hood, and why byte-level BPE tokenization — not better prompting — is the…
-
Byte-Pair Encoding Explained: Why Tokenization Isn’t Just Splitting on Spaces (Ep.01.00)
Every episode of Module 00 quietly relied on .split() — text broken into whole words at whitespace, no questions asked. It was a deliberate simplification, flagged twice and never resolved.…
-
Is Your AI Agent Actually Intelligent, or Just a Very Good Parrot?
Every AI agent demo looks intelligent. That’s the problem. A demo is, almost by definition, a curated set of inputs the builder already knows the system handles well. The interesting…
-
What Is Intelligence, Really? (From Zero to Agents, Episode 00.01)
Last episode ended with a question. Here’s a definition worth pressure-testing (a very common first instinct — someone may say): “A system is intelligent if it can analyze requirements and…
-
From Zero to Agents: A Foundational AI/ML Course Built From First Principles (Episode 00.00)
Most “learn AI” content today teaches you to assemble — wire an LLM API into a framework, call it an agent, ship it. That’s a real and useful skill. It…
-
Ep.12 AIVerse Extension Plan: Multi-Model AI Integration
The AIVerse project is evolving from a single-engine chat tool into a production-ready, multi-provider ecosystem. This extension plan details our strategic shift toward a modular architecture—utilizing FastAPI, PostgreSQL, and React—to…


