Prompts

The example collection from the official OpenAI Cookbook, covering prompt design, structured outputs, tool use, evaluation, and production patterns.

A web, desktop, and browser-extension tool for optimizing, testing, evaluating, and saving prompts, with self-hosting options.

A CLI and library for versioned prompt and model-output evaluations, plus red-team testing for LLM applications, agents, and RAG workflows.

A compact prompt engineering guide covering model limitations, prompt risks, and practical strategies.

A hand-curated index of prompt and context engineering resources, covering papers, tools, models, benchmarks, courses, and security material.

Separates a claim into verifiable facts, inferred conclusions, and value judgments, checks sources and context, and then audits the reasoning chain.