Zero-Shot Prompting
Zero-shot prompting asks the model to complete a task directly without examples. It relies on the model's pretrained knowledge and works best when the task is simple, clear, and familiar.
Master Prompt Engineering from techniques to production practice
A structured technical guide for AI application developers, prompt engineers, and technical leads covering techniques, patterns, model differences, evaluation, and production rollout.
Prompt Techniques
Few-Shot Prompting
Few-shot prompting teaches the model a pattern by showing a few input-output examples before the target task. It is one of the most reliable ways to improve format and style consistency.
Chain-of-Thought (CoT)
Chain-of-thought prompting asks the model to reason step by step before giving an answer. It is useful for multi-step reasoning, calculations, and transparent decision workflows.
Tree-of-Thought (ToT)
Tree-of-thought extends step-by-step reasoning by exploring multiple candidate paths, scoring them, and selecting the strongest solution.
System Prompt Design
System prompt design defines the assistant's role, responsibilities, boundaries, and output behavior. It is the behavior contract for an AI application.
Role-Playing Prompting
Role-playing prompting gives the model a professional identity, perspective, and communication style so it can respond with domain-specific framing.
Model Prompt Differences
GPT-4o
GPT-4o prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.
Claude Opus
Claude Opus prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.
Gemini Pro
Gemini Pro prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.
Design Patterns
Expert Persona Pattern
Expert Persona Pattern is a reusable prompt design pattern for structuring model behavior, constraints, and output in production-oriented workflows.
Step-by-Step Pattern
Step-by-Step Pattern is a reusable prompt design pattern for structuring model behavior, constraints, and output in production-oriented workflows.
Constraint-First Pattern
Constraint-First Pattern is a reusable prompt design pattern for structuring model behavior, constraints, and output in production-oriented workflows.
Advanced Guides
Prompt Engineering Roadmap
A staged learning path for Prompt Engineering, from basic prompting to advanced patterns and production operations.
Top 10 Common Prompt Mistakes
The ten most common Prompt Engineering mistakes developers make, plus practical fixes.
How to Choose the Right Model
A systematic way to choose an LLM based on task type, quality requirements, latency, budget, context length, deployment, and compliance.
Engineering Principles
Reusable
Every technique page includes use cases, examples, recommendations, and failure modes.
Production-minded
The site covers evaluation, versioning, cost, latency, safety boundaries, and operations.
Model-aware
Compare context windows, output behavior, tool use conventions, and adaptation strategies.