Machina Profile picture
Jul 26 43 tweets 8 min read Read on X
how to learn anything 10x faster than anyone else:
here is the biggest mistake people make when studying: treating their brains like a hard drive

you can't just dump information and expect it to stick

your brain needs specific patterns and techniques to actually retain knowledge

that's where AI becomes so powerful
AI is the greatest learning companion because it:

- never gets tired of your questions
- adapts to your exact pace and style
- creates unlimited practice materials instantly
- remembers everything you've learned
- identifies patterns in your mistakes you'd never notice

it's like having a PhD tutor available 24/7

sounds cool, right?
before we get into the serious stuff, i got something for you

if you're serious about learning AI...

i run a free newsletter with 1 edition per week, no ads/spam, just pure value ↓



give it a try, you'll probably thank me later

now back to the threadaifirstbrain.com
the problem with traditional education: it's a "one-size-fits-all" approach

with AI education, it's completely personalized to YOU

AI can:
- analyze how you learn best
- create content in your preferred format
- adjust difficulty in real-time
- focus on your specific weak areas

personalized learning isn't the future, it's right now and we'll use it here
knowing your learning style is game-changing:

you're a visual learner? AI creates diagrams and mind maps
maybe an auditory learner? AI explains concepts like a podcast
or a kinesthetic learner? AI designs hands-on projects

without this profile, you're learning blind, just like everyone else
i'm going to show you 9 frameworks that scientists have proven work

but here's the twist: we're going to supercharge each one with AI

these aren't theory - i've used these exact methods to master new skills in weeks instead of months

first, let's get your learning profile sorted
use this prompt in your LLM (chatgpt, claude, gemini, grok...):

"ask me 15 questions about my learning preferences covering: information processing style, preferred content formats, optimal study environment, motivation factors, memory techniques that work, attention span, and feedback preferences.

then create a JSON profile with specific recommendations for how AI should adapt to my style in future sessions"

this becomes your learning DNA, save the JSON file
how to use your learning profile:

add this to every prompt: "reference my learning profile [paste JSON] and adapt your teaching style accordingly"

AI will automatically:
> format content for your style
> adjust session length
> use your preferred examples
> provide feedback how you like it

now let's get into the frameworks
FRAMEWORK 1: spaced repetition

your brain forgets 50% of new information within an hour... and 90% within a week

spaced repetition fights this by reviewing information at optimal intervals

the problem? calculating those intervals manually is a nightmare

enter AI...
here'snanprompt for AI-powered spaced repetition:

"create a 30-day spaced repetition schedule for [topic]. for each concept, tell me when to review (day 1, 3, 7, 14, 30) and create quiz questions for each review session. adapt difficulty based on my performance."

AI handles the complexity, you focus on learning
how i use AI for spaced repetition:

- feed it my study materials
- AI creates review schedules
- generates practice questions automatically
- tracks my weak areas
- adjusts timing based on my mistakes

as a result, you get information that sticks permanently instead of fading away
FRAMEWORK 2: active recall

reading is passive, testing yourself is active

your brain strengthens neural pathways when you force it to retrieve information

most people re-read notes while smart people test themselves

AI makes this effortless...
use this prompt:

"based on this material [paste content], create 20 challenging questions that test deep understanding, not memorization. include multiple choice, short answer, and scenario-based questions. don't give me the answers yet."

then test yourself before checking answers
my AI active recall system:

1. study material for 25 minutes
2. AI generates random quiz questions
3. answer without looking back
4. AI explains what i got wrong
5. repeat with harder questions

forces your brain to work, not just absorb
FRAMEWORK 3: pareto principle (80/20)

i know this one is very famous but still soooo strong

20% of concepts give you 80% of the understanding

the challenge: identifying which 20% matters most

most people waste time on low-impact details

AI can identify what MATTERS
here's a 80/20 learning prompt:

"analyze this subject [topic] and identify the 20% of concepts that will give me 80% of practical understanding. rank them by importance and create a learning sequence starting with highest impact concepts first."
how AI applies 80/20 to learning:

- identifies core concepts vs nice-to-know
- prioritizes learning sequence
- eliminates information overload
- focuses on practical applications

this single framework will speed up your learning like nothing else
FRAMEWORK 4: interleaving

studying one topic for hours creates false confidence

-> interleaving mixes different topics in one session

forces your brain to discriminate between concepts

you end up with a deeper understanding and better retention
study using this prompt:

"create a 90-minute study session mixing these 3 topics: [topic A, B, C]. alternate between them every 15 minutes with different types of exercises. ensure each topic reinforces understanding of the others."

prevents your brain from getting too comfortable
why interleaving works so well with AI?

what most people do: study math for 3 hours straight

AI interleaving: 15 min math --> 15 min physics --> 15 min chemistry --> repeat

> your brain learns to switch contexts rapidly
> discrimination between concepts improves
> retention increases dramatically

i know it feels harder but works 10x better
FRAMEWORK 5: elaborative interrogation

asking "why" and "how" creates deeper understanding

most people accept facts passively, fast learners who question everything retain more

AI becomes your tireless questioning partner
copy+paste this prompt:

"for each concept i share, ask me 5 'why' questions and 5 'how' questions that probe deeper understanding. then connect this concept to 3 other topics i'm learning. make me explain the connections."

forces active thinking instead of passive absorption
how i use AI for deep questioning:

me: "photosynthesis converts light to energy"

AI: "why do plants need this conversion? how does chlorophyll specifically capture photons? why is this process essential for all life?"

when using this one i realized that i was not so good at many topics lmao
FRAMEWORK 6: deliberate practice

random practice maintains your current level while deliberate practice pushes you beyond it

the key is to focus on weaknesses, get immediate feedback, increase difficulty progressively

AI identifies your weak spots and creates targeted challenges
use this prompt:

"analyze my performance on these problems [paste mistakes]. identify my 3 biggest weaknesses. create 10 exercises that specifically target these weak areas, starting easy and getting progressively harder."

it's like having a coach that knows your downsides
FRAMEWORK 7: dual coding (visual + verbal)

your brain has two memory systems: visual and verbal

combining both creates stronger memories

>text alone is weak
>visuals alone lack detail

both together = efficient retention of knowledge
steal this prompt:

"explain [concept] using both words and visual descriptions. create a detailed mental image i can visualize, then provide verbal explanations that connect to that image. include analogies that bridge visual and verbal understanding."

double the memory pathways, double the retention
how AI creates dual coding:

learning about atoms?
--> verbal: "protons have positive charge"
--> visual: "imagine a soccer ball (nucleus) with tiny marbles (electrons) orbiting around it"

AI connects abstract concepts to concrete visuals automatically
FRAMEWORK 8: bloom's taxonomy

learning happens in levels:
remember --> understand --> apply → analyze → evaluate → create

you don't wanna get stuck at "remember"

mastery happens at "create"

AI guides you through each level systematically
bloom's progression prompt:

"take me through all 6 levels of bloom's taxonomy for [topic]. start with basic facts (remember), then conceptual understanding, then application problems, analysis exercises, evaluation scenarios, and finally creative projects."

this one ensures deep mastery, not surface knowledge
here's bloom's taxonomy in action:

remember: "what is compound interest?"
understand: "explain why compound interest grows exponentially"
apply: "calculate returns on $10k over 20 years"
analyze: "compare different investment strategies"
evaluate: "assess risks vs rewards"
create: "design an investment portfolio"

i love this one
FRAMEWORK 9: microlearning + pomodoro

your attention span is limited (especially in 2025 lol)

microlearning works with your brain, not against it

25-minute focused sessions beat 3-hour marathons, AI creates perfect bite-sized lessons
use this prompt:

"break down [complex topic] into 25-minute learning sessions. each session should cover one specific concept with clear objectives, practice exercises, and knowledge checks. design 10 sessions that build upon each other."

designed for gen z
here's how to combine all 9 frameworks:

week 1: AI identifies 80/20 concepts (pareto)
week 2: microlearning sessions with dual coding
week 3: active recall + spaced repetition
week 4: interleaving + elaborative interrogation
week 5: deliberate practice on weak areas
week 6: bloom's taxonomy progression

you can become very solid a specific topic in 6 weeks
here's a bonus prompt:

"you're my learning coach. analyze [topic] and create a 30-day learning plan using: pareto principle, active recall, spaced repetition, interleaving, elaborative interrogation, deliberate practice, dual coding, bloom's taxonomy, and microlearning. adapt based on my progress."

one prompt for all frameworks
i used this system to learn blockchain development:

week 1: AI identified core concepts (hashing, consensus, smart contracts)
week 2: visual + verbal explanations for each concept
week 3: active recall quizzes + spaced reviews
week 4: mixed practice (solidity + economics + cryptography)
week 5: deliberate practice on my weak areas
week 6: (almost) built my first DeFi protocol

6 weeks from zero to building
what NOT to do:

- using only one framework
- rushing through material without testing
- skipping the spaced repetition
- avoiding your weak areas
- learning passively without AI interaction

the frameworks work together, not in isolation
how to track your learning with AI:

"create a learning dashboard for [topic] that tracks: concepts mastered, retention rate from spaced repetition, weak areas from deliberate practice, and progress through bloom's taxonomy levels. update weekly."

measure, adapt and improve
once you master the basics:

> have AI create learning analogies from your interests
> use AI to connect new topics to your existing knowledge
> build custom GPTs trained on your learning materials
> create AI tutors that know your exact learning style
how to start this week:

day 1: choose your topic + run the pareto analysis
day 2: create first microlearning session
day 3: begin active recall practice
day 4: add spaced repetition schedule
day 5: integrate interleaving
days 6-7: evaluate and adjust
the combination of proven learning frameworks + AI isn't just about learning faster...

it's more about learning that actually sticks

your goal shoud never be information consumption, but always building permanent knowledge that compounds

start with one framework today, your future self will thank you

what topic will you master first?
that's it for this thread

follow @EXM7777 for more

if you're serious about learning AI...

i run a free newsletter with 1 edition per week, no ads/spam, just pure value ↓

aifirstbrain.com

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More from @EXM7777

Jul 17
how to grow from 0 to 10k followers using the feyman method:
most people think viral content needs to be sophisticated...

but it's actually the opposite

- the posts that go viral are the ones that make difficult concepts feel obvious
- the threads that get bookmarked explain hard things in simple words
- the creators who grow fastest are the best teachers, not the smartest people

richard feynman figured this out decades ago, now it's your turn to use his method for growth

this whole thing is applicable to every social media: Insta/Tiktok/X/Linkedin but i'll teach it to you through the lens of X as this is where i operate
the feynman technique isn't just a learning method

you can use this simple framework to create infinite content without having any skills

here's what we'll cover:
- what the technique actually is (most get it wrong)
- why simple explanations go viral
- step-by-step content creation process

but before we get into it...
Read 38 tweets
Jul 12
how to master AI in 30 days (the exact roadmap):
most people learn AI backwards

they jump into building chatbots before understanding what tokens are, they try fine-tuning before mastering prompts, they attempt custom models before grasping embeddings...

this roadmap fixes that: going from complete beginner to dangerously capable in one focused month
before we move on to the deep stuff...

bookmark this thread & follow @EXM7777 for more

and if you're serious about learning AI, subscribe for free: aifirstbrain.com
Read 31 tweets
Jul 11
the n8n automation ecosystem if FULL of fake gurus...

they can't show you how to build workflows because most of them are STOLEN, and they certainly can't teach you how to find clients

here's a blueprint to go from $0 to $10k/mo selling n8n workflows:

a thread 🧵
there are 3 goldmine niches that pay the most for automation:

- local service businesses (plumbers, HVAC, contractors)
- e-commerce brands ($1M-$10M revenue)
- SaaS companies (pre-$1M ARR)

each has specific pain points that bleed money daily...
let's start with local service businesses...

these companies are losing $50K+ annually to missed calls, slow quotes, and manual scheduling chaos

40% of leads die between initial contact and quote delivery

these businesses are stuck in 1995 while competitors automate their way ahead
Read 23 tweets
Jul 8
how to get rich (with ai) :
here's the big shift that makes people rich with AI: stop using it like a fancy tool and start thinking WITH it every single day

most people add AI to what they already do, rich people rebuild everything around what AI can do

this changes how your brain works and separates those who make money from those who just talk about making money
before you can make money with AI, get good at these three things:

- writing prompts that give you exactly what you want every time
- teaching AI to understand your business and how you work
- building systems that run by themselves

these work together and make each other stronger
Read 38 tweets
Jul 7
here's how to unf*ck your life in 6 months using the AI-First Brain framework...

motivation or willpower won't help you, you need AI to rebuild every component of your life

the complete step-by-step system:

a thread 🧵 Image
#1 let's audit your foundations

create a claude project called "unf*ck my life"

upload your context: current situation in business, health, relationships, finances, daily habits

anything, don't lie

prompt: "analyze my current state and identify the 3 highest-impact areas that will create cascading improvements across my entire life"

let AI be your mentor
#2 let's explore WHO you are as a person

use AI to build a comprehensive JSON profile:
- your values and principles
- your strengths and weaknesses
- past patterns of success and failure
- ideal future state across all life areas

this becomes the foundation for every AI interaction going forward
Read 31 tweets
Jul 6
here are 37 life-changing books that will completely rewire how you think...

each one packed with learnings that most people will never discover

i've extracted the 5 most powerful takeaways from each:

a thread 🧵
#1 Man's Search For Meaning (written in a concentration camp):

- everything can be taken except your attitude toward circumstances
- suffering becomes meaningful when it serves a purpose
- those who had "why" to live survived when others didn't
- responsibility for your choices exists even in extreme situations
- love transcends the physical presence of the beloved
#2 Deep Work in the age of distraction:

- focus is becoming a superpower as it becomes more rare
- shallow work fills time but creates little value
- attention residue from task-switching kills productivity
- boredom trains your brain to focus when it matters
- ritualize deep work like athletes ritualize performance
Read 40 tweets

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