Learn how to use XML tags to add structure and clarity to Claude prompts. Improve prompt parsing with clear boundaries for code, documentation, and data.
Learn how to systematically improve your AI prompts through a five-step evaluation workflow. This guide covers drafting prompts, creating eval datasets, generating responses, grading outputs, and iterating for better performance—transforming prompt engineering from guesswork into data-driven optimization.
Learn practical techniques for implementing changes effectively with Claude, including visual communication with screenshots, Planning Mode, and advanced reasoning capabilities.
Learn how to effectively manage context in Claude Code using /init, CLAUDE.md files, file mentions with @, and custom instructions. Master the art of providing the right information at the right time.
Master the temperature parameter in Claude to control response creativity and predictability. Learn how to choose the right temperature for different tasks with practical Python examples.