AI Tutorials
Practical AI development tutorials
Articles
Human-in-the-Loop Without Killing Throughput⭐10
Human-in-the-loop safety slows SQL agents. Learn how risk-based routing prevents dangerous actions without killing throughput.
From One Agent to a Team: Understanding Codex Subagents⭐10
Learn how Codex subagents work and how to use them effectively, with a hands-on case study for defining and delegating specialist tasks.
How to Get Reliable Structured Data Out of an LLM⭐10
Reliable structured data from LLMs requires enforced schemas, validation, and smart retry loops to prevent JSON parsing failures.
Connecting My LangGraph AI Agent to Postgres⭐9
Learn how to connect a LangGraph AI agent to Postgres for state persistence. Step-by-step guide with testing via Docker and hosted Postgres.
Why Claude Code Time Estimates Are Poor⭐9
Discover why Claude Code struggles with time estimates and learn practical strategies to improve communication with LLM programming tools.
From Mixtral to Kimi K3: The Evolution of Mixture-of-Experts Models⭐8
From Mixtral to Kimi K3, explore Mixture-of-Experts evolution from 8 to 896 experts per layer, compression, and stability for trillions of parameters.
The Sigmoid Function: From 'e' to Neural Networks⭐9
Learn how the sigmoid function maps inputs to probabilities, its derivation from odds, and its role in neural networks.
I Trained Six Models for Fraud Detection, and the Best One Isn't⭐9
Trained six fraud detection models; the best-performing one was never deployed. Discover why evaluation metrics don't always translate to production success.
Agentic AI Is Rewriting the Analytics Stack—But One Skill⭐9
Agentic AI accelerates analytics, but humans remain irreplaceable for judgment, trust, and original thought.
How to Work with AI Coding Agents⭐10
Learn practical tips for working with AI coding agents to produce better code, maintain control, and streamline your development workflow.