Jared Zoneraich

Prompt Engineering with Anthropic Claude

Tips on how to prompt Claude more effectively. Take-aways from a talk by Anthropic’s “Prompt Doctor” (Zack Witten).

Ground truth is subjective, and the only reliable way to evaluate prompts is with real user metrics. A/B testing helps you safely iterate.

LLM tool calling as an AI idiom, its benefits over JSON mode, and examples of how to use function calling in your real projects.

This post was cross-posted with permission from Greg Baugues. You can find the original at https://www.haihai.ai/friction/

Gorgias uses PromptLayer every day to store and version control prompts, run evals on regression and backtest datasets, and review logs.

Meticulate Case Study — PromptLayer empowers AI startup to debug complex agent LLM pipelines, rapidly build MVP, and go viral.

Speak Case Study — PromptLayer empowered content, product & bizops teams to efficiently scale AI-driven workflows, fueling rapid growth.

Ellipsis Case Study — PromptLayer slashes LLM agent debugging time by 75%, fueling 500K+ requests and 30 new customers in just 6 months.

ParentLab Case Study — How non-technical prompt engineers use PromptLayer to build highly-personalized AI user interactions.