AI Fundamentals

Plain-language primers on the core ideas of AI, machine learning, and deep learning — definitions, mental models, and how the pieces fit together. The on-ramp for newcomers.

20 articles

Chidozie ManagwuFounding writerAug 219 min read

Why Most Split-Payment Systems Fail at the Business Layer

Most payment systems are designed for checkout.

AI Fundamentals AI Safety & Alignment Federated & Distributed Learning Data-Centric ML Causal Inference

Chidozie ManagwuFounding writerAug 1110 min read

Engineering a 90%+ Margin Event Marketplace: Why We Bet on Telegram Mini Apps, PHP, and Lean AI

If your event marketplace is mostly software, not operations, you can push gross margins above 90% by combining Telegram Mini Apps for zero-friction distribution, PHP for a lean backend, and AI only where it directly improves conversion, moderation, or discovery.

AI Fundamentals AI Safety & Alignment Agents & Tool Use Natural Language Processing Generative AI

Adejoke AFounding writerSep 304 min read

Your Data Engineering Job Title Doesn’t Tell Me What You Do

Why the same title can mean completely different jobs depending on where you work

Self-Supervised Learning AI Safety & Alignment AI Fundamentals

Chidiebere NjokuFounding writerAug 317 min read

Your AI Is Only as Good as Your Data Pipeline

The AI revolution over the past few years has been dominated by massive foundation models, trillion-parameter counts, and futuristic chat interfaces. Yet inside engineering teams…

Foundation Models AI Fundamentals MLOps & Infrastructure Generative AI Agents & Tool Use

Chidozie ManagwuFounding writerAug 2511 min read

Designing a Split-Payment Referral System in Django: A Full Implementation Guide

Split-payment systems are deceptively hard.

AI Fundamentals AI Safety & Alignment Agents & Tool Use Applied ML Causal Inference

Adejoke AFounding writerAug 1911 min read

Why AI Projects Fail Before Model Training Begins

AI success depends less on the model you choose and more on the data foundations, governance, and business context you build before training starts.

AI Fundamentals Data-Centric ML AI Safety & Alignment Agents & Tool Use Foundation Models

Chidiebere NjokuFounding writerAug 35 min read

How to Stop LLM Hallucinations: A Hands-On Engineering Guide

In production systems, "hallucination" is a catch-all term for when Large Language Models (LLMs) generate plausible-sounding but incorrect or unintended output.

Generative AI Agents & Tool Use AI Fundamentals

Chidozie ManagwuFounding writerJul 248 min read

How I Design Event-Driven AI Systems for Production

A deep dive into state, retries, idempotency, observability, and reliable workflow design for modern AI products.

AI Fundamentals Information Retrieval & Search AI Safety & Alignment Applied ML Deep Learning Theory

Inside AI SystemsJul 238 min read

Multi-Head Attention To Flash Attention

What actually changes when you go from manual attention to a fused kernel

Efficient Inference AI Fundamentals Foundation Models

Inside AI SystemsJul 213 min read

Prefill And Decode

Understanding Prefill and Decode in LLM Inference

AI Fundamentals Efficient Inference