Open a modern AI coding tool today and you’ll often see a dropdown you didn’t have to think about a year ago: a list of two or three model names, sometimes with a note like “best for complex tasks” or “fastest.” Pick the wrong one, and you either wait too long for a simple question … Read more
Introduction Most AI products built for professional use are general-purpose: a chat assistant, a coding agent, a writing tool. “AI for science” is different. It describes a growing category of AI systems purpose-built for the specific workflows of scientific research — reading and synthesizing literature, generating and testing hypotheses, analyzing experimental data, and helping researchers … Read more
Introduction In June 2026, Vercel ran two Ship events — London on June 17, New York City on June 30 — and the core message of both was the same: software deployment has structurally changed. Six months ago, fewer than 3% of Vercel deployments were triggered by coding agents. As of the NYC event, that … Read more
Introduction Prompt engineering is the practice of designing inputs to language models to reliably produce useful outputs. That definition sounds simple. The implications are not. The same model given two different prompts can produce dramatically different outputs — one correct and useful, the other wrong and confidently stated. No code change, no fine-tuning, no infrastructure … Read more
Introduction Most AI tutorials show you how to make a single LLM call. Real applications need more: multiple steps, conditional branching, tool use, state that persists across turns, and the ability to pause for human review before continuing. That is the gap LangGraph fills. LangGraph is a Python library for building stateful, multi-step AI workflows. … Read more
Introduction Agentic AI refers to AI systems that pursue goals autonomously — planning a sequence of actions, executing them, observing results, and adjusting based on what they find — rather than waiting for a human to direct each step. The word “agentic” comes from agency: the capacity to act independently toward a goal. An agentic … Read more
Introduction An AI agent is a system that uses a large language model as its reasoning engine to perceive inputs, make decisions, use tools, and take actions — repeatedly, across multiple steps — until a goal is achieved. This is different from a standard LLM call. When you ask ChatGPT or Claude a question and … Read more
What is RAG? Complete Guide to Retrieval-Augmented Generation Introduction AI models are trained on data up to a fixed date. After that, they know nothing new. If you ask an AI about something that happened last month, or about a document that exists only inside your company, it cannot answer accurately — it either halts … Read more
On June 9, 2026, Anthropic released Claude Fable 5 — and changed how they name their models. For three years, Claude models were organized as Opus, Sonnet, and Haiku: powerful, balanced, and fast. That naming structure is now a tier below the new system. Fable 5 represents something different: the first broadly available model built … Read more
Introduction AI models like Claude, GPT, and Gemini are powerful on their own. But on their own, they are also isolated. They cannot read your files. They cannot query your database. They cannot call your internal APIs. They can only work with what you paste into the chat window. This is a serious limitation for … Read more