Structured prompts rise: New methods like prompt decomposition and XML-tagged anti-goals help AI stay on-task and produce more relevant, high-quality outputs. Persistent context gains: Claude Projects ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

Today’s newest AI models might be capable of helping would-be terrorists create bioweapons or engineer a pandemic, according to the chief scientist of the AI company Anthropic. Anthropic has long been ...

Prompt engineering is the process of crafting inputs, or prompts, to a generative AI system that lead to the system producing better outputs. That sounds simple on the surface, but because LLMs and ...

Claude Opus 4.7 and ChatGPT 5.5 broke your old prompts in opposite ways. Here is exactly how to write for each model and why ...

Claude Opus 4.7 improves on performance and usability, but is intentionally dialed down in capability as Anthropic prioritizes safety and prepares for its more advanced Mythos model. Anthropic has ...

The people who get the most out of AI aren’t the ones with the best prompt templates. They’re the ones who treat the model as ...

If you're still preparing for AI interviews with just prompt lists and basic LLM APIs, you're already behind. By May 2026, the industry standard has shifted decisively toward 'Agentic AI'—systems that ...

There's a certain comfort in selecting the most powerful model. When you're building an AI-powered product, it feels responsible (almost logical) to pick the most powerful model available. GPT-4o.

Anthropic’s newly launched Claude Opus 4 model frequently tries to blackmail developers when they threaten to replace it with a new AI system and give it sensitive information about the engineers ...