Best of Prompt Engineering — November 2025

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   Article

   System Design Newsletter·27w

   A Beginner’s Field Guide to Large Language Models: From Tokens to Agents

   Comprehensive beginner's guide explaining 33 fundamental LLM concepts without mathematics. Covers core mechanics like tokens, embeddings, and parameters; training processes including pre-training and fine-tuning; interaction patterns through prompts and context windows; architectural extensions like RAG and agentic AI; model types and deployment options; performance measurement through benchmarks and metrics; and common failure modes like hallucination and bias with their mitigation strategies. Emphasizes practical understanding over technical depth to help readers use LLMs effectively and recognize their limitations.

   15
2. 2
   Video

   NetworkChuck·24w

   You SUCK at Prompting AI (Here's the secret)

   Learn effective prompt engineering techniques to get better results from AI language models. The guide covers foundational concepts like personas, context provision, output formatting, and advanced methods including chain-of-thought reasoning, few-shot prompting, and multi-perspective evaluation. The core insight: AI quality depends on clarity of thought—if you can't explain what you want clearly, the AI can't deliver it. Includes practical examples transforming a basic apology email prompt into professional output through iterative improvements.

   10

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3. 3
   Article

   Hacker News·26w

   AI World Clocks

   An interactive project that generates analog clock visualizations every minute using nine different AI models. Each model receives the same prompt with a 2000-token limit to create HTML/CSS code for a responsive analog clock with CSS-animated second hands, demonstrating how different AI models interpret and execute the same creative coding task.

   10

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