Eman Zahid

Nobody talks about this part of chasing dreams.

The part where you have:

👉🏻 One tab open for your university assignment.
👉🏻 Another tab for a client’s urgent project.
👉🏻 A third one with Python tutorials playing on 2x speed.
👉🏻 And a fourth tab... you don’t even remember why it's open.

This is where I am right now.

Trying to build my future, piece by piece.

✅ Learning.
✅ Working.
✅ Managing my studies.
✅ Doing freelance projects.
✅ Doing part time job
✅ Working on my own startup
✅ Guiding my community
✅ Try to reply everyone (I know it's difficult but I try my best)

Some days, it feels like I'm on top of the world.

Other days?

It feels like the world is sitting on top of me.

There’s no "perfect" routine.

Some mornings I jump straight into deep work.

Some nights, I’m submitting assignments at the last minute, with a client call scheduled 5 minutes later.

Coffee, deadlines, messy notes, late nights, new ideas---- it’s all one big beautiful mess.

And honestly?
That’s okay.

This phase — this chaos — this uncertainty — is part of the journey.

It’s not a side effect.
It’s the main road.

I’m learning:

👉🏻 To say YES to opportunities even when I’m scared.

👉🏻 To balance client expectations and university grades.

👉🏻 To keep learning new skills even when my brain says, “enough.”

And most importantly:

📌 To trust that every late night, every messy to-do list, every small project…
is a brick in the foundation of something bigger.

If you're out there, feeling like your journey is messy and all over the place too...

You're not failing. You're BUILDING.

Messy action >>> Perfect plans.

One day, all these chaotic tabs, projects, lessons, and late nights will turn into the success story.

Stay patient. Stay stubborn.

We’re writing the first messy chapter of a beautiful book.

♻️ Repost if you feel relatable

#EntrepreneurLife #MessyJourney #DreamChaser #BuildingTheFuture

1 day ago | [YT] | 0

Eman Zahid

"AI is random and unpredictable."

Wrong.

If AI feels chaotic, it’s not because it’s too smart.

It’s because you're not using the right settings.

Let’s talk about one of the most overlooked elements in prompt engineering

👉🏻Temperature
👉🏻 Max Tokens
👉🏻 Parameters.

Think of these as the dials that control how your AI assistant behaves.

1️⃣ Temperature: The Creativity Control

Low Temperature (0–0.3):
Precise. Factual. Repetitive.

Ideal for technical writing, math, or instructions.

High Temperature (0.7–1):

Creative. Imaginative. Diverse.

Perfect for storytelling, brainstorming, copywriting.

Example:
Prompt: “Write a headline for a coffee brand.”

Temp 0.2 → “Buy Fresh Coffee Today”

Temp 0.9 → “Brew Bold. Live Loud. Sip the Revolution.”

2️⃣ Max Tokens: The Length Limiter

It controls how long the response can be.

Low token count = Short, cut-off responses

High token count = More depth, detail

Example:
Asking for a blog outline?

→ Set 100–200 tokens.
Want the full blog post?
→ Go for 1000+ tokens.

3️⃣ Other Parameters That Shape Results

Top_p (nucleus sampling):

Adjusts how wide the model samples from possible words.

Frequency penalty:
Reduces repetition. Useful in long answers.

Presence penalty:
Encourages diversity in topic and phrasing.

Why This Matters:

Prompt + Settings = Results

Great prompts fail when paired with default settings.

Here’s what to try

Prompt: “Give me ideas for a personal branding strategy.”

Run it at temperature 0.3

Then at 0.9

Compare the results

Notice how tone, variety, and risk-taking change

👉🏻📌Your Turn:
Exercise:

Take a prompt you often use.
Tweak the temperature.
Limit the tokens.
Play with penalties.
Observe how the response evolves.

Mastering these points is how you fine-tune the AI to work for YOU.

Not random. Not lucky. Just smarter prompt engineering.

2 days ago | [YT] | 1

Eman Zahid

"Programming is dead."

Most of the people said because of Ai, programming is dead.

But it's not true. It's not dead. Ai increases productivity.

👉🏻 Here are the 10 chatgpt prompts that every programmer must know.......

1. Code Review

"Act as an experienced software engineer. Review the code snippet provided below. Highlight any potential issues, suggest improvements, and explain why your suggestions would make the code better. Focus on code efficiency and readability.
[Paste your code]"

2. Debugging Assistance

"Act as a senior developer. Help me debug the following code that is not working as expected. Describe the potential issues and suggest solutions. Explain the reasoning behind each suggestion.
[Paste your code]"

3. Algorithm Optimization

"Act as an algorithm expert. Optimize the following algorithm for better performance. Provide a step-by-step explanation of your optimization process. Focus on improving time and space complexity.
[Paste your code]"

4. API Integration

"Act as an API integration specialist. Guide me on how to integrate [specific API] into my project. Explain the steps, provide sample code, and mention any potential pitfalls to avoid."

5. Database Design

"Act as a database architect. Help me design a database schema for [specific application]. Include key tables, relationships, and data types. Provide a brief explanation for each design choice."

6. Security Best Practices

"Act as a cybersecurity expert. Provide best practices for securing a web application built with [specific technology]. Include tips on authentication, data encryption, and protecting against common vulnerabilities."

7. Code Refactoring

"Act as a software engineer. Refactor the following code to improve its structure and readability. Explain each change and how it contributes to better code quality. Focus on removing redundancy and improving maintainability.
[Paste your code]"

8. Unit Testing

"Act as a test engineer. Your task is to write unit tests for the following function. Explain your testing approach and ensure that all edge cases are covered. Provide the sample code for the tests."

9. Version Control

"Act as a version control expert. Explain how to use Git effectively in a collaborative project. Include best practices for branching, committing, merging, and resolving conflicts."

10. Performance Tuning

"Act as a performance engineer. Provide tips on how to optimize the performance of a web application built with [specific technology]. Focus on both server-side and client-side optimizations."

4 days ago | [YT] | 3

Eman Zahid

“The real reason AI gives bad answers? You're asking too much at once.”

Not many people will tell you this, but here’s the hard truth:

It’s not that AI doesn’t work, it’s that you’re expecting it to handle a 5-in-1 task without a clear path.

Let me explain…

1️⃣ Ever tried asking ChatGPT something like:

“Build a full business plan with product ideas, audience analysis, marketing strategy, and monetization?”

And it gave you a long wall of generic content?

You’re not alone. Most people try to get everything in one go, thinking it’ll save time.

But that approach kills clarity.
The result? A messy, half-baked response that’s hard to use.

2️⃣ The Better Way: Break It Down
Here’s the switch that changed how I use AI:

Stop asking for everything. Start guiding it step by step.

This isn’t about simplifying your ask, it’s about structuring it better.

3️⃣ A Quick Example
Let’s say you're building a startup.
Here’s how most people prompt:

❌ Weak Prompt:

“Write a full business plan for my edtech idea.”

That’s way too broad. It overloads the AI.

✅ Better Prompt Series:

“Step 1: What’s a good niche in the edtech space right now?”

“Step 2: Who is the target audience for that niche?”

“Step 3: What pain points do they have?”

“Step 4: Give me 3 product ideas that solve one of those pain points.”

“Step 5: Outline a basic monetization strategy.”

By breaking it down, you get focused answers. Each step builds on the last.
And suddenly, you’re not just getting info, you’re creating something useful.

4️⃣ Common Mistake People Make
They think being “detailed” means making the prompt long.
But in reality, long ≠ clear.

The longer your question, the more likely it is that AI misses the point.

5️⃣ Try This Mini-Experiment

Think of a prompt you asked before that didn’t work.

Now break it into 3–5 clear, small prompts.
Run them one by one.

You’ll notice something:
AI performs way better when you stop dumping and start directing.

This one simple shift from “ask it all at once” to “guide it one step at a time”
has made my work 10x smoother.

And no, you don’t need to be an expert to do this.

You just need to practice breaking things down.

If this made you rethink how you prompt, save this post.

We’re just getting started. Let’s build real skills, not guesswork.

♻️ RESHARE TO HELP OTHERS

2 weeks ago | [YT] | 1

Eman Zahid

#chatgpt #chatgptprompts #workoutplan #fitnessprompts

2 weeks ago | [YT] | 2

Eman Zahid

❌ “Machine Learning is too complex. I’ll never get it.”

No. The real problem is: you’ve been learning it the hard way.

Let’s bust a myth today.
You don’t need to be a math genius to understand machine learning.

What you need is the right explanation.

Most machine learning resources are filled with jargon, theory, and overwhelming formulas.

You watch 10-minute videos and still feel lost.

You scroll blogs and end up more confused than when you started.
Sounds familiar?

I was in the same boat.
So I created something different:

Handwritten Machine Learning Notes that actually make sense.

Here’s what you’ll find inside:

✅ Concepts broken down in plain English

✅ No fluff, no jargon — just clear, simple explanations

✅ Visuals, doodles, and analogies to help you remember

✅ Ideal for beginners, students, and curious minds

✅ Covers the foundations you must know to build confidence

Think of these notes like learning ML from a friend who actually explains it clearly, not a professor rushing through slides.

Why it Works:
• You remember what you understand
• You understand what’s clear
• You stay motivated when it’s simple

🛠 MINI CHALLENGE:
Pick one ML topic you always struggle with;
Now read it from these notes.
I promise, it’ll finally “click.”

Learning machine learning shouldn’t feel like punishment.
It should feel exciting.
And with the right notes — it does.

📥 Here are the notes that finally make it all make sense. 👇🏻
drive.google.com/drive/folders/1ZtQM4vVGX6N6Ztzhyf…

Because you deserve to learn smarter, not harder.

♻️ Share with others 👇🏻
whatsapp.com/channel/0029VaD8E9m1yT27X8u0GK33

2 weeks ago | [YT] | 2

Eman Zahid

“ChatGPT doesn’t give me the answers I want.”
No. The truth is: Your prompt didn’t give AI the instructions it needed.

Let’s be honest.
We often blame the tool.
But the problem is in the way we ask.

That’s the part no one talks about.
But once you fix it, everything changes.

A lot of people type in a vague question and expect a golden answer.
But AI isn’t a mind-reader.
It only gives you what you ask for.

Let’s take an example 👇

❌ Bad Prompt:
"Tell me about marketing."

Seems simple, right?
But it’s also confusing.
What kind of marketing? For which audience? What format do you want?

This prompt has zero context, no direction, and no clarity.
And that’s why you’ll get a long, general answer that doesn’t help much.

Now, look at this:

✅ Better Prompt:
"I’m a beginner in digital marketing. Give me a simple 5-step guide to start learning content marketing. Use bullet points".

See the difference?
You told AI:
• Who you are (a beginner)
• What you want (steps to learn content marketing)
• How you want it (bullet points)

More details = better results.
Clearer question = useful answer.
That’s the magic formula.

Let’s break it down even further:

🔸 Be Clear: Don’t leave room for guesswork.
🔸 Add Context: Who’s asking? Why? For what use?
🔸 Specify Format: List, table, summary, step-by-step, tell AI what you want.
🔸 Use 5W1H: Who, What, When, Where, Why, and How.

Think of AI like your intern.
If you’re vague, the results will disappoint you.
If you’re specific, it’ll blow your mind.

🛠 Mini Exercise (Try This Now)

Write a bad prompt.

Rewrite it using the Golden Rule of Clarity.

Run both through ChatGPT.

Compare the results.

You’ll see it instantly — better prompts create smarter outputs.

Here’s a quick example for practice:

❌ “Write a LinkedIn post about AI.”

✅ “Write a professional LinkedIn post (under 100 words) about how AI tools like ChatGPT can save 2+ hours daily for content creators. Add a hook and CTA.”

Boom.
Same topic.
Two very different results.

Clarity and specificity are your superpowers.

If you want better answers, ask better questions.

That’s the Golden Rule of Prompt Engineering.

You don’t need to be a coder.
You just need to learn how to talk to AI the right way.

💬 Drop a bad prompt below; I’ll help you rewrite it.
Let’s learn together.

📌 Save this post if you found it helpful.
More breakdowns coming in the next posts.

2 weeks ago | [YT] | 2

Eman Zahid

“AI Doesn’t Understand Me?” Let’s Fix That Today.

Ever typed a question into ChatGPT and got a weird or off-topic answer?

You double-checked your wording…
You tried rephrasing…
But still, it didn’t get you.

You’re not alone.

A lot of people feel the same way.

AI is smart but it’s not human.
It understands patterns, not feelings.
It follows rules, not intuition.

Let’s break down how AI really understands your words and how you can get better answers.

1️⃣ How AI Understands Words

When you write something like:
“Give me a simple diet plan.”

AI doesn’t read it like a human would.

Instead, it breaks it into tiny parts called tokens.

A token is just a chunk of text maybe a word or a part of one.

For example:
- “Give” → 1 token
- “me” → 1 token
- “a” → 1 token
- “simple” → 1 token
- “diet plan” → 2 tokens

Now AI takes those tokens, looks at what similar requests looked like before, and predicts what you might want next.

It doesn’t understand your feelings.
It sees patterns and guesses the most helpful next sentence.

It’s like finishing a sentence in your head, but with millions of examples behind it.

2️⃣ The Secret Behind Tokens (Why They Matter)

Every chat has a token limit, a max number of words, AI can process at once.

Think of it like a whiteboard: if it’s full, older stuff gets erased.

So if you ask a long question, or the conversation goes on and on…

AI might lose track of earlier things you said.

That’s why clear and focused questions work better.
The more precise you are, the less confused the AI gets.

3️⃣ Common Mistakes That Confuse AI

Let’s be real, sometimes the issue isn’t AI…

It’s how we ask.

Here are a few things that often cause problems:

❌ Vague questions: “Tell me about business.” (Too broad)

❌ Multiple questions in one go: “Tell me a business idea and how to do it and write a plan.” (Too much at once)

❌ Changing topics too quickly: AI loses track of the thread

❌ Lack of context: “Can you write that email?” (Which email?)

✅ Tip: Treat AI like a helpful intern. The more context you give, the better it performs.

🛠 Try This Mini Experiment

Want to understand how small changes in prompts affect the answers?

Try this in ChatGPT:

Ask: “Write a 100-word story about a cat.”

Then ask: “Now make it funnier.”

Then ask: “Make it suitable for kids under 5.”

Notice what happens.

The same base request but different tones, styles, and lengths.
That’s the power of clear instructions.

This will help you see:

✨How AI interprets tone
✨ How it is customized content
✨ How prompt clarity shapes output

Lesson: Tiny tweaks can create big shifts in response quality.

Want better answers?
Ask better questions.

Be clear, add context, and keep it simple.

If this helped, drop a comment below.

Let’s make AI work for you, not confuse you.

#chatgpt #promptengineeringseries

3 weeks ago | [YT] | 1

Eman Zahid

Before you upload your photos to AI, Read this!

Most people have NO idea where their data goes after uploading it to an AI model.

I didn’t either—until I dived in depth. And what I found shocked me.

Your photos could be:
❌ Used to train AI models—without your consent.
❌ Stored and accessed by third parties.
❌ Shared or leaked online.

And once it’s out there, you can’t take it back.

Exciting Ghibli style images in ChatGPT make AI art fun.

But every image you upload could be feeding an AI system.

That means:

📌 Data Ownership: Do you still own your photos after uploading?

📌 AI Training: Will your images be used to improve AI without your permission?

📌 Global Access: Who else can see or use your data?

Most people don’t stop to think about this before clicking "Upload."

Before you upload ANY personal photo, ask yourself:

✅ Do I trust this platform with my data?
✅ Have I read the terms and conditions? (Most of us don’t.)
✅ Would I be okay if this image was made public?

If the answer is NO, don’t upload it.

What You Can Do NOW to Stay Safe

1️⃣ Read the Fine Print: AI tools often bury data policies in legal jargon. Know what you’re agreeing to.

2️⃣ Limit Personal Uploads: Avoid sharing images of yourself, your family, or sensitive content.

3️⃣ Demand Transparency: Companies should be clear about how they use your data. Ask questions.

AI is powerful, but your privacy matters more.

♻️ Share this to spread awareness before it’s too late.

#AI #ghibli #ghiblistyle
#ghiblistyleimages #ghiblitrend #openaichatgpt #PrivacyMatters

3 weeks ago | [YT] | 1

Eman Zahid

"AI is Too Complicated? Let’s Fix That in 5 Minutes!"

You’ve heard people talk about AI.

You see it everywhere

ChatGPT, Siri, Google Search.

But when you try to understand how it works… it feels overwhelming.

Too many technical terms. Too much jargon.
So, you just nod and move on.

But what if AI wasn’t that hard to understand?

Let’s break it down into super simple words,
no tech-speak, no confusion.

By the end of this post, you’ll finally “get” how AI works.

1️⃣ What is AI?
AI is like a really smart assistant.

It looks at huge amounts of information, finds patterns, and makes predictions.

It doesn’t “think” like humans—it just processes data really fast.

2️⃣ How Does AI Process Text?

When you type a message to ChatGPT, what happens next?

📝 Step 1: It breaks your question into smaller parts.

🔍 Step 2: It looks at billions of past conversations.

🧠 Step 3: It predicts the most likely response.

It’s just a pattern-matching at super speed.

It doesn’t “think”—it just figures out what words should come next.

Imagine playing hangman, but instead of guessing letters, AI predicts full sentences.

3️⃣ AI, ML, NLP & LLMs – What’s the Difference?

People throw around words like “Machine Learning” and “Neural Networks.”

Here’s what they really mean (without the jargon):

✅ AI (Artificial Intelligence): The big umbrella—it’s about making machines “smart.”

✅ ML (Machine Learning): AI that learns from data (like Netflix learning what you like).

✅ NLP (Natural Language Processing): AI that understands human language (like Siri or Google Translate).

✅ LLMs (Large Language Models): AI that reads tons of text and predicts answers (like ChatGPT).

Simple, right? No need to memorize—just know that they all help AI communicate like humans.

4️⃣ Where Do You Already Use AI?

You don’t need to be a tech expert to use AI.
You already interact with it every single day:

🔍 Google Search: AI ranks the best answers for you.

💬 ChatGPT: AI helps you write, learn, and brainstorm ideas.

You’re using AI right now without even thinking about it.

5️⃣ How AI Generates Responses

AI doesn’t “know” things. It predicts what words should come next based on what it has learned.

That’s why it sometimes sounds smart but also why it can get things wrong.

It’s not magic. It’s math and patterns.

The more data AI has, the better it gets.

---

✅📌 Try This Challenge!

Ask ChatGPT:
👉 "How do you work?"

Look at how it explains itself.
Does it match what you learned in this post?

By doing this, you’ll see AI in action and understand it way better.

AI isn’t scary. It isn’t too complex.

It’s just a tool and if you learn how to use it, you’ll be ahead of 99% of people.

If this post helped, leave a comment.

And if you want more AI explained simply, stick around.

Let’s make AI easy for everyone.

Share with others
whatsapp.com/channel/0029VaD8E9m1yT27X8u0GK33

#AI #ArtificialIntelligence #ChatGPT #PromptEngineering #AIForBeginners

3 weeks ago | [YT] | 0