Navigating the world of artificial intelligence can often feel like wandering through a labyrinth—confusing and endless. Yet, Ali H. Salem’s YouTube video “Prompt Engineering Guide: 2026 Edition (Steal My System)” is here to demystify one critical area of AI interaction: prompt engineering. Published on November 12, 2025, this guide simplifies complex systems, offering a universal framework useful across popular AI models such as ChatGPT (GPT-5/4.1), Claude 4, and Google Gemini. Salem’s approach is thorough, methodically guiding viewers through a prompt engineering framework designed to work seamlessly across various large language models. This includes the core template—Role, Task, Context, Examples, Output, Constraints, and Instructions—a clearly structured method for effective communication with AI models.

One commendable aspect of Salem’s guide is the exploration of advanced techniques, notably Chain of Verification and Reverse Prompting. These techniques add depth to the topic by addressing challenges like hallucinations in AI, thereby improving the accuracy of AI responses. Salem effectively supports these techniques with empirical evidence and practical examples that resonate well with an audience eager to optimize AI use.

While the content is rich in valuable insights, a few areas could benefit from additional clarity, especially when discussing the optimization differences among models. The advice on adjusting context according to various models needs further exploration to avoid potential misunderstandings. However, Salem admirably provides insights into how context engineering will grow alongside prompt engineering, suggesting the two aren’t mutually exclusive but rather complementary.

Ultimately, Salem’s video is a robust resource for analysts, PMs, and AI enthusiasts aiming to refine their skills in prompt engineering across multiple platforms. His effort in compiling this guide is a significant contribution to the AI field, offering an accessible and enriching learning experience for viewers interested in better harnessing AI technology.

Ali H. Salem
Not Applicable
November 24, 2025
Framework Explanation
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