An AI model can generate fluent, convincing answers and still be wrong. That's why building reliable AI applications requires more than choosing a powerful model — it requires a systematic way to measure how well that model performs.

AI evaluation helps engineers understand whether a model produces accurate, relevant, safe, and …

Introduction

Large Language Models (LLMs) can answer questions, generate code, summarize information, and explain complex topics.

But answering a question is different from completing a task.

For example, an LLM can explain how to check an order status, but an AI agent with access to an order system can actually …

Introduction

Most people have used a customer service chatbot that didn't help.

It answered a question no one asked. It couldn't see the order that was already on screen. It looped back to "How else can I assist you today?" three times in a row before handing off to a …

Introduction

AI agents are different from traditional chatbots because they can do more than generate text. An agent can interact with external tools such as APIs, databases, search engines, calculators, code interpreters, file systems, and business applications.

But this creates an important question:

How does an AI agent decide which …

Introduction

------------

Generative AI has transformed the way applications understand language, generate content, analyze information, and interact with users. However, many GenAI applications depend on cloud servers for model inference, which can introduce network latency, privacy concerns, and connectivity requirements.

Edge AI addresses this limitation by moving AI processing closer to …

Introduction

Large Language Models (LLMs) like GPT, Claude, and Gemini can write essays, answer questions, and even generate code. But how do they actually produce text? The process is surprisingly simple at its core, even though the models themselves are massive and complex. This post breaks it down in plain …

Introduction

FastAPI has quickly become one of the most popular Python frameworks for building APIs. Created by Sebastián Ramírez, it combines high performance, easy syntax, and automatic documentation generation — making it a favorite among developers building modern web services and microservices.

Why FastAPI?

1. Speed Built on Starlette and Pydantic, FastAPI …

Building reliable AI agents isn't just about picking the right model — it's about the patterns you wire around it. Here's a concise reference of 15 agentic system design concepts worth knowing. Two lines each — just enough to understand what they do and why they matter.

Resilience & Failure Isolation

Agent Circuit …

Claude Code is not a chatbot. It lives in your terminal, reads your actual files, writes code, runs commands, and executes multi-step workflows — all with your permission. Here are 30 concepts you need to understand it properly. No fluff, no hand-holding.

The 30 Concepts

1. The Terminal — Claude Code doesn't …

The AI agent ecosystem is growing fast. Here's a quick directory of notable AI startups and a couple of few-shot LLM models worth knowing about. Two lines each — just enough to know what they do and why they matter.

AI Agent Directory

Can of Soup — An AI-powered app that lets …