📚 Overview and distinction of content areas on MentoroAI

🧠 Glossary – Understand key terms

Purpose:

Explain core concepts of artificial intelligence – simple, clear, and with context.

Content:

• Term (e.g. “Neural Network”)
• Short definition (“A computer model inspired by the human brain…”)
• Detailed explanation with examples or analogies
• Category (e.g. Models & Architectures, Ethics & Society)

Focus:

→ Understand terminology and relationships.

Example:

Prompt – a command or question given to an AI model describing what output to generate.

📖 Guides – Learn & apply step by step

Purpose:

Instructional texts that explain a topic from the ground up – practical and easy to follow. They combine knowledge, motivation, and actionable steps.

Content:

• Introduction to a topic (“AI in everyday office work”)
• Step-by-step instructions or checklists
• Tips, case studies, and common mistakes
• Hands-on tone, often including screenshots or example prompts

Focus:

→ How to use AI effectively, safely, and confidently.

Audience:

Beginners, learners, and curious users.

Distinction:

Guides explain and accompany – they are not direct examples but structured learning or application tutorials.

Example:

Guide: “Save time with AI in everyday office tasks – reports, emails & meetings.”

💬 Prompts – Ready-to-use input examples

Purpose:

Immediately usable input templates (“prompts”) for different goals, tailored to task and audience.

Content:

• Title (e.g. “Create a structured email summary”)
• Description of the intended use
• Prompt text (formatted and copy-friendly)
• Example outputs or variations

Focus:

→ Start right away – with a well-crafted input.

Distinction:

Prompts are tools (text building blocks), guides are explanations, and use cases are real-life examples.

Example:

Prompt: “Summarize the following email in three sentences and mark open items with an asterisk.”

💡 Use Cases – Real-world examples

Purpose:

Illustrate where and how AI is used in real-life situations.

Content:

• Description of a specific application or industry
• Problem → AI solution → Result
• Benefits, limitations, and success factors
• Optionally: links to related tools or prompts

Focus:

→ How does AI create value in my field or daily life?

Distinction:

A use case shows what’s possible – a guide explains how to do it yourself.

Example:

Use Case: "Summarizing insurance reports with AI – saving 60 % of processing time."

🧰 Tools – Discover AI apps & platforms

Purpose:

Introducing and classifying AI tools, apps, and platforms.

Content:

• Short description, main functions, and typical use cases
• Screenshots or sample workflows
• Links to the official website or app
• Comparative overview with similar tools

Focus:

→ What can this tool do, and when is it worth using?

Example:

ChatGPT – a language model by OpenAI for text generation, ideal for idea creation, drafts, and analysis.

⚖️ Comparisons – Orientation & decision help

Purpose:

Compare similar tools, models, or approaches to highlight differences and ideal use cases.

Content:

• Comparison tables (e.g. “ChatGPT vs Claude vs Gemini”)
• Evaluation by criteria such as price, quality, privacy, strengths / weaknesses
• Summary and recommendations

Focus:

→ Which tool or approach fits my needs best?

Example:

Comparison: “ChatGPT vs Gemini – Which model works better for office productivity?”