MATEXAiGet More Done with AI
Real techniques from daily use. Learn how I leverage AI to study smarter, code faster, create visuals, and write naturally. No hype, just what actually works.
Hi, I'm Ajay Sharma
Creator of MATEXAi
I built MATEXAi by myself because I was tired of paying $40/month for AI tools I only used a few times a week. Every technique on this page comes from my actual daily use.
I'm not a marketing expert writing generic advice. I'm a developer who uses these tools every single day— for coding, studying new technologies, creating images for projects, and writing documentation. What you're reading here is what actually works for me.
Why should you trust me? Because I have skin in the game. If these techniques didn't work, I'd be wasting my own time. I use MATEXAi for my own projects, my own learning, and my own content creation. This isn't theory—it's practice.
Everything on this page is written by me, based on real experience. No AI-generated fluff, no copied content from other sites. Just honest insights from someone who's been using AI tools daily since early 2024.
I've been using AI tools for over a year now, and honestly? It changed everything. Not in a "robots taking over" way, but in a "wow, I actually have time for lunch now" way. Here's everything I wish someone had told me when I started.
Contents
New Comprehensive Guides
Build Apps with AI & Start Earning
Complete guide to building and monetizing AI-powered apps. My real journey from idea to $2.6k/month.
Basic Guide to Using AI
From beginner to advanced - everything you need to know about using AI effectively. Practical techniques that actually work.
Basic Coding Guide
Learn to build Android & web apps with AI. From zero to shipping apps. Beginner-friendly coding roadmap.
Using AI to Study Smarter
How I cut my study time in half without sacrificing grades
The Real Story
I used to spend 6 hours every weekend making flashcards. Then I discovered I could describe what I needed to study, and AI would generate 50 flashcards in about 30 seconds. Same quality, 99% less time.
But here's the trick: you can't just say "make flashcards about biology." You need to be specific. Here's what actually works:
What I Actually Do
Focus on: processes, key terms, and the order of reactions.
Make the questions test understanding, not just memory.
Why this works: I'm telling it exactly what I need and how detailed to get. The AI gives me actual study material, not generic definitions I could Google.
Mix of easy, medium, hard questions.
Include "why" in the explanations, not just "what."
Pro tip: I take these practice tests a week before exams. The AI explains why each answer is right or wrong, which is honestly better than most textbooks.
This is my secret weapon. I ask AI to explain something like I'm 10 years old. If I can't explain it back simply, I don't really get it yet.
Example conversation:
Me: "Explain quantum entanglement like I'm 10"
AI explains it simply...
Me: "Now quiz me on it to see if I understood"
AI tests my understanding...
Real Results From Students Using This
Medical Student, UC Berkeley
"Used to spend all weekend making flashcards. Now I generate 200 in 15 minutes and use the rest of the time actually studying. Anatomy exam score: 91% → 96%."
Engineering Student, MIT
"Thermodynamics was killing me. Asked AI to explain each concept three different ways until one clicked. Went from C to A- in one semester."
Coding with AI (Without Looking Lazy)
The difference between using AI as a crutch vs. a power tool
Let's Be Honest
You're not "cheating" if you use AI to code. You're also not a "real developer" if you just copy-paste everything without understanding it. There's a middle ground, and that's where the magic happens.
I write about 3x faster now. But I also understand the code better because I'm asking AI to explain WHY things work, not just WHAT to type.
My Actual Workflow
Don't just ask "how do I make a login?" Tell it your whole setup:
I need a login endpoint that validates username/password,
returns a JWT token, and handles errors properly.
Show me the code AND explain each part.
When something breaks (and it will), I don't waste hours Googling. I paste the error and ask:
Here's my code: [paste code]
What's wrong and how do I fix it? Explain like I'm learning.
Key difference: I ask it to explain the fix, not just give me code. That way I actually learn and don't hit the same bug twice.
Before I push anything, I ask AI to roast my code:
- Performance issues
- Security problems
- Bad practices
[paste code]
Be brutally honest.
You'd be surprised how often it catches things like SQL injection vulnerabilities or inefficient loops I completely missed.
What I Learned the Hard Way
- Always read and understand the code before using it. Always.
- Test AI code like it's written by an intern. Because it kind of is.
- Ask for explanations, not just solutions. You'll become a better developer.
- Context is everything. The more you tell it about your project, the better the code.
Real Talk From Developers
Junior Dev → Mid-Level in 8 Months
"Was drowning in a FastAPI project with a 2-week deadline. Used AI to understand patterns, not just copy code. Finished in 10 days and actually learned FastAPI properly. Got promoted."
Senior Dev, 15 Years Experience
"Thought AI would make me obsolete. Instead, it handles the boring stuff so I can focus on architecture. I'm more valuable now, not less."
Creating Images That Don't Look AI-Generated
The prompt formula that actually works
The Reality
You've seen those AI images that scream "I was generated by a robot." Weird hands, dead eyes, uncanny valley vibes. But you've also seen images so good you couldn't tell they were AI. The difference? The prompt.
I generate 20-30 images a week for blog posts, social media, and presentations. Here's the exact formula I use.
My 5-Part Prompt Formula
1. WHAT
Subject
2. DOING
Action
3. WHERE
Setting
4. HOW
Lighting
5. STYLE
Art Style
Bad prompt: "A woman in an office"
My prompt using the formula:
Young professional woman with curly red hair,
confidently presenting to a team,
modern glass-walled conference room,
natural window lighting with soft shadows,
professional photography, shallow depth of field, 8K
Important: Start with "Generate an image of:" so MATEXAi knows you want an image, not text.
Real Examples I Use Weekly
📱 Social Media Posts
Perfect for Instagram. Takes 10 seconds.
🎨 Blog Headers
Beats stock photos every time.
🛍️ Product Mockups
Freelancers save $200+ on photo shoots.
🖼️ Illustrations
Great for explainer content.
Pro Tips I Learned After 1000+ Images
- The first image is rarely the best. Generate 3-4 variations and pick the winner.
- Adding "8K" and "high detail" actually makes a difference. Not placebo.
- Specify the art style or it'll give you random styles. "Professional photography" vs "cartoon" matters.
- Save your best prompts. Seriously. You'll reuse them constantly.
Success Stories
Freelance Designer
"Used to waste 2-3 hours searching stock photos. Now I generate exactly what I need in minutes. Client capacity increased 40%. Same rates, more profit."
Social Media Manager
"Needed daily unique visuals for 5 brands. AI made it possible without hiring a designer. Engagement up 65% because content looks custom, not generic stock."
Making AI Text Sound Human
How to keep the speed without the robot voice
Here's The Thing
AI writes fast. But it also writes like... well, like AI. You know the voice: "In today's fast-paced digital landscape, it is essential to note that furthermore..." Ugh.
But I don't want to spend an hour writing what AI does in 30 seconds. So here's my system: AI writes the draft, I make it sound human. Takes 5 minutes total. Best of both worlds.
My 10-Second Fixes
These tiny changes make all the difference:
1. Add Contractions
❌ You should not overlook this
✅ Don't sleep on this
2. Mix Sentence Length
Short. Then longer explanation. Then short again. Keeps it punchy.
3. Ask Questions
❌ Engagement is important
✅ Want more engagement? Start here.
4. Kill Filler Words
❌ In today's digital landscape, moreover...
✅ Delete. Just say what you mean.
5. Add Personality
Use words like "honestly," "look," "here's the thing." Sounds like you're talking, not writing a manual.
6. Use Real Examples
❌ Many companies see success
✅ Airbnb's emails drive 30% of bookings
7. Add Imperfection
Real writing isn't perfect. Use dashes—like this. Start sentences with "And" or "But."
8. Use Metaphors
Don't just explain. Compare: "Building an email list is like planting a garden."
9. Tell Mini-Stories
Example: "Last year I tested two emails. The personalized one? 3x the clicks."
10. End with Energy
❌ In conclusion...
✅ So, are you ready? Let's do this.
How I Actually Use MATEXmizer
- 1Generate content with MATEXAi's chat feature
- 2Use MATEXmizer to humanize it: "Make this conversational, add contractions, vary sentence length, remove filler"
- 3Review the output and add 1-2 personal examples or specific details
- 4Done. Total time: 5 minutes. Sounds human, reads naturally.
What Makes Text Sound "AI-Generated"
Avoid these dead giveaways:
- • Every paragraph starts with "Moreover," "Furthermore," "Additionally"
- • Sentences are all the same length
- • No contractions anywhere (it is, they are, you will)
- • Generic phrases like "in today's digital landscape"
- • Perfect grammar with zero personality
- • No specific examples, just vague statements
Real Results
Content Agency Owner
"Needed to scale from 10 to 80 articles/month. AI drafts + humanization workflow made it possible without losing quality. Client retention actually improved."
Freelance Blogger
"Content was getting flagged as AI. Implemented this system, now passes all AI detectors. More importantly, engagement is up 40% because it actually reads well."
Written by Ajay Sharma
Everything you just read comes from my personal experience using MATEXAi daily. I'm the solo developer who built this platform, and I use it for my own work every single day.
No AI-generated content. No marketing fluff. No copied tutorials. Just real techniques from someone who's been in your shoes and found what actually works.
Questions or feedback? Email me directly: matexaihelppppp@gmail.com
AI for Students: Study Tips That Actually Work
Real techniques I use every day as a developer who never stopped learning
By Ajay Sharma • 8 min read
My Background
I'm not a student anymore—I'm a developer. But building MATEXAi forced me to learn constantly: new AI models, new frameworks, new deployment strategies. I use AI tools every single day to learn faster, and these techniques work whether you're studying for exams or learning to code.
Here's what I've learned about using AI effectively for learning. No theory—just what actually works.
1. Turn Dense Material into Digestible Chunks
The Problem: Textbooks and documentation are dense. You read the same paragraph three times and still don't get it.
What I Do: I paste the confusing section into AI and ask for a simple explanation with examples.
Real Example: When learning about database indexing, I asked AI to explain it like organizing a library. Suddenly it made sense—indexes are like the card catalog system. You don't search every book; you check the index first.
Why This Works: AI can translate complex jargon into plain language instantly. You understand faster, then you can go back to the original text with context.
2. Practice Problems, Not Just Reading
The Problem: Reading notes feels productive, but you forget everything by exam day.
What I Do: I generate practice problems based on what I'm studying, then check my answers with AI.
After solving them, I paste my answers:
Tell me which are wrong and explain why, but don't just give me the answer—help me figure it out.
Why This Works: Active recall (testing yourself) is proven to be more effective than passive review. AI gives you unlimited practice problems instantly.
3. Build a Study Guide From Your Notes
The Problem: Your notes are a mess. Random highlights, scattered thoughts, no structure.
What I Do: I dump all my messy notes into AI and ask it to organize them into a clear study guide.
- Main concepts
- Key terms and definitions
- Important formulas or processes
- Common mistakes to avoid
Real Example: Before learning a new JavaScript framework, I collected all my rough notes, code snippets, and documentation quotes. AI organized it into: Core Concepts, Common Patterns, Gotchas to Avoid, and Quick Reference. Saved me hours of manual organization.
4. Learn by Teaching (To AI)
The Problem: You think you understand something, but you can't explain it clearly.
What I Do: I explain the concept to AI in my own words, then ask it to point out gaps or mistakes in my understanding.
Why This Works: If you can't explain something simply, you don't understand it well enough. AI acts as a patient teacher who catches your mistakes without judgment.
5. Break Down Overwhelming Topics
The Problem: Big topics feel impossible. "Learn React" or "Understand Machine Learning" sounds like a year-long project.
What I Do: I ask AI to break the topic into small, manageable chunks with a learning path.
Real Example: When I needed to learn deployment for MATEXAi, AI broke it down into: Basic server concepts → Docker basics → Cloud platforms → CI/CD pipelines → Monitoring. Each step took a day or two instead of feeling overwhelming.
What Doesn't Work
- ✗Lazy prompts: "Tell me about photosynthesis" gives you Wikipedia, not understanding.
- ✗Copy-pasting answers: If you just copy AI answers without thinking, you learn nothing.
- ✗Trusting everything: AI makes mistakes. Always verify important facts.
- ✗Skipping practice: Understanding ≠ remembering. You still need to practice and review.
The Bottom Line
AI won't learn for you. It won't make you smart. But it's the best study partner you'll ever have— always available, infinitely patient, and ridiculously fast.
I use these techniques daily when learning new tech for MATEXAi. They work for exam prep, learning new skills, or understanding complex topics. The key is active engagement—AI helps you learn faster, but you still have to do the learning.
My recommendation: Pick one technique from this article and try it tomorrow. See what works for you. Adjust and iterate. That's how I learned to use AI effectively—by experimenting until I found what worked.
Choosing the Right AI Tool: What I Learned Building MATEXAi
Honest insights from someone who tested every AI service while building this platform
By Ajay Sharma • 10 min read
Why This Article Exists
I spent months testing AI services while building MATEXAi. Not as a user clicking buttons, but as a developer integrating APIs, monitoring costs, and dealing with limitations. I learned what works, what doesn't, and what the marketing doesn't tell you.
This isn't a comparison chart with checkmarks. It's what I wish someone had told me before I started.
The Honest Truth About AI Tools
Most AI tools use the same models underneath. GPT, Claude, Gemini—these are the engines. Different tools just wrap them differently. The real differences are:
- →Price: How much you pay for the same AI response
- →Limits: How many messages before you're cut off
- →Features: What else can you do besides chat
- →Reliability: Does it actually work when you need it
What to Actually Consider
1. What Are You Actually Using It For?
Be specific. "I want AI" is useless. Here's what matters:
If you're writing: You need good text generation and the ability to iterate quickly. Speed matters.
If you're coding: You need a model that understands code context and can debug. DeepSeek and Claude work well for this.
If you're learning: You need something with high usage limits so you can ask 100 questions without hitting a paywall.
If you're creating images: You need consistent quality and reasonable generation speed. Not all tools handle image generation well.
2. How Often Will You Actually Use It?
This is the question nobody asks honestly.
If you use AI once a week, paying $20-40/month is stupid. Use a free tier or cheap option.
If you use AI for work every single day, the expensive plans are worth it. Saving 2 hours a week justifies $40/month easily.
My rule: If you're not sure, start free. Upgrade only when the free tier genuinely blocks you from getting work done.
3. Do You Need Multiple Models?
Reality check: Most people don't need access to 10 different AI models.
I built MATEXAi with multiple models because different tasks need different strengths:
- • Gemini Flash: Fast, good for quick questions
- • DeepSeek: Good for coding and debugging
- • Gemini Pro: Good for complex problems
But most users? They stick to one model 90% of the time. Don't pay extra for options you won't use.
4. What About Privacy?
Uncomfortable truth: Every AI service processes your data. That's how they work.
The difference is what they do with it:
- • Most major services: Don't use your data to train models (anymore)
- • Free tiers: Might use your data for improvements
- • Paid plans: Usually have better privacy guarantees
My advice: Read the privacy policy once. If you're uncomfortable, don't paste sensitive information. But honestly, if you're using any online tool, some data sharing is inevitable.
Why I Built MATEXAi the Way I Did
The problem I saw: Existing AI tools were either too expensive for casual use or too limited for serious work. I wanted something in between.
Free tier that's actually usable: 5 minutes a day with DeepSeek. Not a lot, but enough to solve a quick problem or generate something small.
Paid plans: $9.99-$17.99 AUD/month. I use MATEXAi myself.
Multiple tools in one place: Chat, code help, image generation, study tools. You don't need five different subscriptions.
No ads on paid plans: If you're paying, you shouldn't see ads. Simple.
I built MATEXAi for people like me—someone who needs AI regularly but doesn't want to pay enterprise prices.
Red Flags to Watch For
- ⚠"Unlimited" that isn't: Read the fine print. Many "unlimited" plans have hidden rate limits.
- ⚠Annual-only pricing: If they won't let you pay monthly, they know you'll cancel.
- ⚠No free tier: Confident services let you try before paying.
- ⚠Vague features: If they can't clearly explain what you get, it's probably not much.
My Actual Recommendation
Start with free tiers. Try multiple tools. See which interface you like and which models work for your tasks. Don't commit to paid plans immediately.
Upgrade when you hit limits. If you're constantly hitting rate limits or waiting for resets, it's time to pay. But not before.
Don't overthink it. The differences between major tools aren't that massive. Pick one, learn it well, and you'll be more productive than someone who switches tools every week.
Shameless plug: I built MATEXAi to solve these problems for myself. If you're looking for affordable, multi-feature AI, it might work for you too. But honestly, the best tool is the one you'll actually use.
What I Learned
After months of building, testing, and using AI tools daily:
- ✓Price matters less than you think if the tool saves you real time
- ✓Reliability matters more than features - a tool that works 99% of the time beats a fancy tool that's down when you need it
- ✓The best model is the one you have access to when you need it
- ✓Don't pay for status - expensive doesn't mean better for your use case
Ready to Try All of This?
Everything I described above? You can do it all in MATEXAi. Free to start. Upgrade if you need more.
Start Using MATEXAi Free →No credit card needed