- White Belt AI
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- One day. Or Day One.
Do you remember the day you got your driver’s license?
The world seemed to open up even more.
All of the sudden you didn’t have to rely on you parents, friends, hitchhiking or public transportation to go somewhere.
The car gave you the means to get to some place very quickly.
You had the chance to go down new roads, explore new towns, meet new people and have new experiences.
Tommy Boy is one of my favorite movies.
Think of AI as your new license to explore new ways to get the job done better and faster.
Key areas it can help with:
➡️ Business Processes ( ex. Sales, Marketing, Content Creation, Strategy)
➡️ Health and Wellness (ex. Fitness planning, Healthy habits, Meditation, Mental Health)
➡️ Relationships (ex. Date Night, Relationship Goals, Shared Vision Planning)
➡️ Creative Inspiration and Entertainment (ex. Meal Ideas, DIY Projects, Game Nights)
AI tools are here to simplify your life.
But they are difficult to understand Kev.
You’re 100% right.
Want to know what I found out?
Did you know the average person reads at a 7th grade reading level?
And on top of that, AI-related materials are written at a 10th-12th grade level.
Yep.
I understand how you might feel overwhelmed, scared or afraid of being left behind.
That’s what I felt and still feel (TBH).
And one of the reasons why I started White Belt AI.
Imagine having someone always available to help with tough questions, write documents, or keep your business running smoothly.
These AI tools are like having a super-smart helper in your pocket.
You don’t need to know how it all works under the hood, just that it can save you time and effort when you need it.
White Belt AI is your Swiss Army knife for understanding AI.
Are you ready to go to the dojo and start learning?
Great, let’s begin.
What are we Covering Today?
✅ What is AI?
✅ Top 25 AI Phrases
✅ What is a Large Language Model?
✅ How do Prompts Work?
✅ Taking Action
What is AI?
AI, or artificial intelligence, is like a super-smart machine that can learn, think, and make decisions, kind of like a human.
It started as an idea back in the 1950s when people wanted to build machines that could "think" on their own. Over time, scientists figured out how to teach computers to solve problems, recognize pictures, and even talk to people.
At first, these machines were pretty basic, but now, thanks to better technology and lots of data, they can do things like understand your voice, recommend movies, or even drive cars.
Top 25 AI Phrases
Artificial Intelligence (AI): When machines act like humans, doing smart things like solving problems or making decisions.
Machine Learning (ML): Teaching computers to learn from data, like showing them examples so they get better over time.
Deep Learning: A way to teach computers complicated stuff by mimicking how our brains work.
Neural Network: A computer system that works like a mini brain with connections to process information.
Natural Language Processing (NLP): Helping computers understand and talk in human languages.
Computer Vision: Teaching machines to "see" and understand pictures and videos.
Reinforcement Learning (RL): Computers learning by trying things out and getting rewards or corrections.
Supervised Learning: When we teach a computer with labeled examples, like showing a picture and saying, “This is a cat.”
Unsupervised Learning: When computers find patterns on their own without any labels.
Semi-Supervised Learning: A mix of labeled and unlabeled data to teach computers.
Generative AI: Computers that create new things, like writing, drawing, or making music.
AI Ethics: Making sure AI is used in fair and safe ways.
Training Data: The examples we give a computer to teach it.
Overfitting: When a computer gets too good at remembering training data but messes up on new stuff.
Underfitting: When a computer doesn’t learn enough and makes a lot of mistakes.
Bias in AI: When a computer makes unfair choices because of bad or incomplete data.
Explainability: Understanding why a computer made a certain decision.
AI Model: The tool the computer uses to make predictions or decisions.
Feature Engineering: Picking the important parts of data to help the computer learn better.
Hyperparameters: Settings that fine-tune how well the computer learns.
Gradient Descent: A step-by-step way to make the computer learn better by reducing errors.
Transfer Learning: Reusing a trained computer model to save time on new tasks.
AI Pipeline: The steps to build and use AI, like collecting data, teaching the computer, and testing it.
Turing Test: A way to check if a machine is smart enough to act like a human.
Edge AI: Running AI on small devices like phones, not big computer servers.
There’s a hell of a lot more, but these will lay down the groundwork and arm you on your AI journey.
What are Large Language Models (LLMs)?
Think of LLMs as a super-powered version of your phone's autocorrect. They are AI systems that have read a ton of text—like books, websites, and articles—to learn how to understand and create sentences that sound natural.
These models are built to answer questions, write emails, and help automate many things in our day-to-day. They’re like a really smart assistant that never sleeps and knows a little about almost everything.
Here are the top 3 LLMs:
Think of them as Coke, Pepsi and RC Cola.
Which one should you use?
Try each one out, but don’t spend a cent. See which one feels right for you.
How Do Prompts Work?
A prompt is just the question or instruction you give to the AI to tell it what you want.
If you ask, “What’s the weather like?” the AI will try to give you an answer about the weather.
If you say, “Write a funny story,” it’ll create one for you.
A simple framework to write a prompt for AI is the "4 W's" method.
Here's how it breaks down:
Who – Who is the subject of the task or prompt? (e.g., a person, group, organization)
What – What is the task or goal? (e.g., writing, summarizing, generating ideas)
Where – Where does the action or task take place, if applicable? (e.g., location, context, platform)
Why – Why is the task being done or what is the purpose of the request? (e.g., to inform, entertain, inspire)
Example:
Here is an example of someone planning goal setting in 2025:
Who: A professional looking to set personal and career goals
What: Create a structured goal-setting plan
Where: For the year 2025
Why: To ensure focus, track progress, and achieve personal and career growth
Prompt: "Create a structured goal-setting plan for a professional in 2025, focusing on personal development, career growth, and work-life balance, with clear, measurable objectives and action steps for each quarter.
The better and clearer your question, the better the answer you'll get. It’s like giving directions to someone—you’ll get the best results if you're specific about what you want.
Here is the same prompt with more details:
Who: A professional looking to set personal and career goals
What: Create a structured and detailed goal-setting plan
Where: For the year 2025
Why: To ensure focused personal development, career advancement, and work-life balance, with specific milestones and progress tracking
Prompt: "Develop a comprehensive goal-setting plan for a professional in 2025, focusing on personal development, career growth, and work-life balance. The plan should include:
Clear, measurable goals for each area (e.g., skills to learn, promotions to achieve, health milestones).
Action steps for each quarter of the year, breaking down larger goals into achievable tasks.
Methods for tracking progress (e.g., monthly check-ins, journaling, or productivity tools).
Specific strategies for overcoming potential challenges or setbacks.
Ways to maintain work-life balance while pursuing career goals (e.g., time management techniques, wellness practices).
Recommendations for self-reflection or adjustments at key intervals (e.g., after the first quarter, mid-year review).
Keep the framework in mind and enjoy the process!
Take Action
Every newsletter will give you practical actions to take today, helping you level up your AI knowledge step by step.
For today and everyday it will be easy.
Action Steps
Pick an LLM: Choose a platform. Don’t overthink it.
Sign Up: Create an account and access the tool.
Experiment: Try simple tasks like answering questions or writing a prompt.
Refine and Integrate: Improve usage and incorporate it into your work.
Here’s a prompt you can use.
Planning for 2025
"Imagine it's December 2025, and you've had your best year yet. Reflect on what made it successful. Write down your top goals for the year in these areas: health, relationships, vacations, and earning money. Then, break each goal into smaller monthly steps to keep yourself on track. What will you do in January to start strong?"
That’s a Wrap
We’re truly grateful to have you here and are committed to helping you build a strong AI foundation to navigate the ever-changing world around us.
Have feedback, questions, or topics to share? Or just want to say hello?
Reach out anytime—we’re here to support you!
And finally.
What’s it going to be: one day, or is today Day ONE?
❤️ White Belt AI 🥋
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