Blog Details

Overview

In this lesson, you will learn:

• Which modern AI tools are widely used today.
• How each tool leverages LLMs and AI capabilities.
• Beginner-friendly ways to start experimenting with AI tools.
• Hands-on project to build your daily AI toolkit.

By the end, you will be able to use multiple AI tools effectively for productivity, creativity, and learning.

Key Concepts

• ChatGPT / OpenAI: Text generation, conversation, summarization, coding assistance.
• Claude (Anthropic): Conversational AI with safety-focused features.
• Google Gemini: AI for text, reasoning, and multi-modal tasks.
• Dify / Notion AI: Integration of AI into workflow, note-taking, and content creation.
• Daily AI Toolkit: A personalized set of AI tools for productivity and learning.

Concept Explanation

1. ChatGPT / OpenAI

• Text-based LLM for conversation, code generation, summarization, question answering.
• Can be customized with roles, prompts, and parameters.

2. Claude (Anthropic)

• AI assistant optimized for safe and helpful responses.
• Focus on ethical AI interactions and sensitive topics.

3. Google Gemini

• Supports multi-modal AI tasks (text, reasoning, images).
• Can be used for research, analysis, and creative tasks.

4. Dify / Notion AI

• Integrates AI into productivity workflows.
• Automates note-taking, summaries, brainstorming, and task management.

Practical Examples

Example 1 – ChatGPT

Task: Summarize an article.
Prompt: "Summarize this article in 3 bullet points."
Output: Clear, concise bullet points for key information.

Example 2 – Notion AI

Task: Generate meeting notes.
Prompt: "Convert this transcript into action items."
Output: Numbered list of tasks for team follow-up.

Example 3 – Google Gemini

Task: Research a topic.
Prompt: "Explain AI safety measures with examples."
Output: Detailed, multi-step reasoning with references.

Hands-On Beginner Project: Build Your Daily AI Toolkit

1. Identify Your Needs: Productivity, learning, creativity, coding, or research.
2. Select Tools: Pick 3–5 AI tools from ChatGPT, Claude, Gemini, Dify, Notion AI.
3. Test Each Tool: Try basic tasks like summarization, question answering, or workflow automation.
4. Record Observations: Note output quality, usability, and speed.
5. Organize Your Toolkit: Keep a list of tools with tasks they excel at for daily use.

Tools for Hands-On Practice

• ChatGPT / OpenAI Playground: Experiment with conversation, coding, and summarization.
• Claude: Explore safe AI responses and guidance.
• Google Gemini / Bard: Multi-modal reasoning and research tasks.
• Dify / Notion AI: Integrate AI into notes, workflows, and automation.

Step-by-Step Beginner Activity

1. Open ChatGPT Playground. Generate a summary of a short article.
2. Use Notion AI to automate notes from a meeting transcript.
3. Try Google Gemini for a research question with reasoning steps.
4. Compare outputs and observe which tool works best for each task.
5. Document your AI toolkit for daily productivity.

Exercises

1. Summarize an article using ChatGPT → record observations.
2. Convert a meeting transcript into a task list using Notion AI → note usability.
3. Ask Google Gemini to explain a technical topic → compare with ChatGPT output.
4. Create a daily AI toolkit list with 3–5 tools and their main use cases.

Summary & Key Takeaways

• Modern AI tools provide diverse capabilities: conversation, reasoning, productivity, multi-modal tasks.
• Beginners should explore multiple tools to find what fits their needs.
• Building a personal AI toolkit improves daily productivity, creativity, and learning.
• Hands-on experimentation with AI tools bridges the gap between theory (LLM understanding) and practice (prompt application).