Master Windows Internals - Kernel Programming, Debugging & Architecture
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Overview
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Learn to accelerate AI agent development by building a specialized prompt agent that transforms vague ideas into comprehensive, production-ready prompts for large language models and AI tools. Discover how this automation tool generates complete prompts with constraints, inputs, tools, instructions, outputs, and error handling scenarios, eliminating the manual effort of remembering prompt components and anticipating edge cases. Explore the CRITICS framework for effective tool and LLM prompting, examine the key elements of the N8N workflow implementation, and master the techniques for prompting the prompt agent itself. Follow along with practical examples that demonstrate how this system can reduce prompt development time by up to 3x while ensuring thorough coverage of all necessary prompt elements for reliable AI agent performance.
Syllabus
00:00 - Overview
01:11 - What does the prompt agent do? Example outputs
09:35 - How to prompt a Tools agent and LLMs CRITICS
14:11 - Key elements that make up the N8N flow
17:05 - Prompting the prompt agent
Taught by
Simon Scrapes | AI Automation