Advanced Prompt Engineering: From Basic Prompts to Super-Agent Workflows
Most AI interactions feel shallow because the model lacks context about your work, style, and goals. This guide teaches you to craft advanced prompts that turn generic AI into a specialized assistant. You'll learn techniques used by AI engineers at Google and other tech companies to build consistent, context-aware workflows that understand your domain and deliver precise results every time.
Steps in this guide
Learn why simple prompts fail and how advanced techniques like few-shot prompting, role assignment, and contextual framing create more reliable AI responses.
Master temperature, top-K, and top-P settings to control creativity versus accuracy, and learn when to use different configurations for different tasks.
Discover how to break complex problems into reasoning steps, making AI show its work and dramatically improve accuracy on multi-step tasks.
Create AI agents that can search, calculate, and interact with external tools by combining reasoning with action-taking capabilities.
Build comprehensive system prompts that capture your work context, style preferences, and domain knowledge to create a personalized AI assistant.
Establish documentation practices, evaluation methods, and iteration processes to continuously refine your prompts and track their performance over time.