Advanced Guides

Systematic guides from learning roadmap and common mistakes to model selection, testing, and production practice.

A staged learning path for Prompt Engineering, from basic prompting to advanced patterns and production operations.

The ten most common Prompt Engineering mistakes developers make, plus practical fixes.

A systematic way to choose an LLM based on task type, quality requirements, latency, budget, context length, deployment, and compliance.

A practical workflow for testing and evaluating prompts before launch, from manual checks to automated evaluation.

Engineering practices for moving prompts from experiments into production: versioning, error handling, cost control, safety, and operations.