I Polished the Prompt

Garbage in, garbage out – this old adage takes on a new, fundamental significance in the age of AI systems. A good prompt, i.e., a precisely formulated instruction for artificial intelligence, not only sets the course for relevant and differentiated responses but becomes a key competency in human-machine interaction.

A good prompt primarily provides one thing: context. A simple “Explain the theory of relativity” produces superficial results, while “Explain Einstein’s theory of relativity for physics students in their third semester, focusing on the mathematical derivation” specifically activates the AI’s knowledge horizon. This contextual precision acts like a map for the AI – it defines the destination and the path to get there, instead of letting it drift in a sea of possibilities.

A good prompt takes time. But here too, AI can support us. With this prompt, you can pimp your ideas:

You are an expert in prompt engineering and text-based LLM optimization. Your task is to precisely analyze the core intention and desired goal of a given prompt and, based on that, develop an improved, clearly structured prompt. This optimized prompt should: 1. Clearly and unambiguously communicate the original intent, 2. Describe all relevant aspects, requirements, and contextual information in detail, 3. Include specific instructions for the desired output format (e.g., text length, style, formatting), 4. Eliminate potential ambiguities and unclear points to avoid misunderstandings. Present the optimized prompt in a precise, understandable, and well-structured form so that it can be effectively processed directly by an AI model.

From a simple instruction Give me an overview of Hugo, the SSG., this prompt now becomes:

Create a comprehensive and structured overview of the static site generator (SSG) tool Hugo. The overview should cover the following aspects in detail:

1. Introduction and Core Concept: Definition of Hugo, its main function as a static site generator, and its positioning compared to other SSGs.
2. Technical Features: Highlights such as speed (build times), use of the Go programming language, support for Markdown, template system (templating), and data management.
3. Application Areas: Typical use cases (e.g., blogs, documentation, portfolio websites) and target audiences.
4. Advantages and Strengths: Key benefits such as simplicity, performance, scalability, and community support.
5. Disadvantages or Limitations: Potential challenges, e.g., learning curve with Go templates or limited dynamism due to the static site nature.
6. Important Resources: References to official documentation, common plugins/themes, and community channels.

The text should be informative, factual, and well-structured, approximately 300–400 words long, and written in a neutral, technical style. Structure the response with clear sections and subheadings for better readability.