We explain in simple terms why short and concise commands yield better results when talking to AI, exploring the language efficiency of prompt engineering and the latest research findings.
AI companies boast about massive context windows of a million tokens, but AIs actually suffer from a 'lost in the middle' problem where they forget information in the middle. We explore why small, accurate information is important.
An easy-to-understand explanation of the principles behind the 'Thinking Effort' adjustment feature in the latest AI models, the concept of chain-of-thought, and the resulting correlation between wait times and costs.
Explore how to use AI like ChatGPT as a 1:1 tutor rather than a 'vending machine' for answers, turning new information into true personal knowledge.
Going beyond simple chatbots, we explain in an easy-to-understand way what 'Agentic Patterns' are—the core of autonomous AI that selects tools and performs tasks on its own.
Lately, it's becoming a trend among AI developers to receive AI responses in HTML instead of plain text or Markdown. We explain this interesting shift sparked by an Anthropic engineer and the reasons behind it in an easy-to-understand way.