How to Improve LLM Apps with Error Analysis

Learn to systematically identify and improve failures in Large Language Model applications through structured error analysis techniques in this 17-minute tutorial. Discover why building software on top of LLMs often feels unpredictable and explore how error analysis can eliminate guesswork by providing a methodical approach to enhancement. Understand the probabilistic nature of LLMs and how this impacts application reliability, then dive into general error analysis principles before applying them specifically to LLM systems. Follow along with a practical demonstration using a LinkedIn Ghostwriter example that illustrates real-world error identification and resolution strategies. Access accompanying code examples and detailed written explanations to implement these techniques in your own LLM applications, transforming uncertain development processes into systematic engineering practices.