This guide walks you through 17 underused Claude AI capabilities—from persistent “Projects” and interactive “Artifacts” to desktop Cowork access and prompt caching. Each feature includes setup steps and an example prompt so you can pick one today and start saving time immediately.

Two workshops demonstrate hands-on uses of Anthropic’s Claude model. In one, Andrej Karpathy breaks down his 14-minute tutorial on mastering Claude, claiming it takes about 10,000 hours to learn. In the other, Amazon quants show how they built a full AI agent in 25 minutes with just 44 lines of code, now open-sourced.

Anthropic released a free, registration-free 27-minute workshop teaching you how to prompt their Claude AI, led by its creators. It packs practical techniques into the first eight minutes that rival paid courses.

Boris Cherny breaks down nine common habits that burn most of your Claude tokens before the model even sees your prompt—loading CLAUDE.md, rereading chat history, forgotten hooks, and more. He shows how each pattern eats into your limits and why complaints about “Claude getting dumber” usually miss the real culprit.

The author loaded all 12 free MIT AI courses into Claude, creating a unified, fully functional research system. It shows how combining open educational resources with a powerful LLM can streamline and enhance AI research workflows.

This article compares two main options for setting up an AI agent: the user-friendly Claude and the customizable Hermes. It explains the differences between AI agents and chatbots, outlines the setup processes for each option, and emphasizes the importance of .md files for effective AI interaction.

This article explains how to set up a Telegram bot to work with Claude Code using an MCP server. It covers the steps from creating a bot with BotFather to configuring the server and pairing it with Claude for direct messaging. Key commands and configurations are detailed for effective integration.

Anthropic's AI tool, Claude, has gained significant traction among consumers, with paid subscriptions more than doubling this year. The growth coincides with a public feud with the Department of Defense and effective Super Bowl ads that positioned Claude as a safer alternative to competitors. Despite this success, Claude still trails behind ChatGPT in overall user numbers.

The author compares Claude's Constitution with OpenAI's Model Spec, highlighting their differences and similarities in guiding AI behavior and values. The Claude Constitution emphasizes a more anthropomorphic approach, focusing on the model's ethical practice and personality while addressing concerns about human control and ethical decision-making. Despite some reservations about anthropomorphism, the author appreciates the document's thoughtful sections on honesty and ethical considerations.

Claude Bootstrap is an opinionated system designed for initializing projects with a focus on test-driven development (TDD), security, and simplicity. It automates iterative coding loops, ensures mandatory code reviews, and helps maintain clarity and security in AI-generated code. The framework encapsulates best practices learned from numerous AI-assisted projects across various programming environments.

Engineers from Anthropic break down Claude’s design, covering its transformer-based architecture, data curation methods, and reinforcement learning from human feedback. They also dive into safety measures and guardrails built to curb harmful or biased outputs.