A community college professor taught the same study skills lecture for 30 years, and the video quietly became one of the most watched educational recordings on the internet.
His name is Marty Lobdell. He spent his career as a psychology professor watching students fail not because they were lazy, but because nobody had ever taught them how their brain actually works under the pressure of learning something hard.
The lecture is called "Study Less Study Smart." Over 10 million views. Passed around in Reddit threads, Discord servers, and university study groups for over a decade. And the core insight buried inside it has been sitting in cognitive psychology research for years, waiting for someone to explain it in plain language.
Here is the framework that completely changed how I think about effort.
Your brain does not sustain focus the way you think it does. Studies tracking real students found that the average learner hits a wall somewhere between 25 and 30 minutes.
After that, efficiency doesn't just decline. It collapses. You're still sitting at your desk, still looking at the page, but almost nothing is going in.
Lobdell illustrated this with a student he knew personally. She set a goal of studying 6 hours a night, 5 nights a week, to pull herself out of academic probation. Thirty hours of studying per week. She failed every single class that quarter.
She wasn't failing because she lacked effort. She was failing because she had confused time spent near books with time spent actually learning. The 25-minute crash hit her at 6:30pm every night. She spent the next five and a half hours sitting in the wreckage of her own focus and calling it studying.
The fix sounds almost too simple. The moment you feel the slide, stop. Take five minutes. Do something that actually gives you a small reward. Then go back. That five-minute reset returns you to near full efficiency. Across a six-hour window, the difference is not marginal. It is the difference between thirty minutes of real learning and five and a half hours of it.
The second thing he taught destroyed something I had believed about how memory actually works.
Highlighting feels productive. Going back over your notes and recognizing everything feels like knowing. But recognition and recollection are two completely different cognitive processes, and your brain is very good at making you confuse them.
You can see something you've read before and feel completely certain you understand it, even when you couldn't reconstruct a single sentence from memory if the page were blank.
He proved this live in the room. He read 13 random letters to his audience. Almost nobody could recall them. Then he rearranged the same 13 letters into two words: Happy Thursday. The whole room got all 13 without effort.
Same letters. Same count. The only thing that changed was meaning.
The brain stores meaning. Not repetition. The moment new information connects to something you already understand, the retention changes entirely.
This is what the cognitive psychology literature calls elaborative encoding, and it is the mechanism underneath every effective study technique.
The third principle was the one that hit me hardest, and the one almost nobody applies.
Lobdell cited research showing that 80 percent of your study time should be spent in active recitation, not passive reading. Close the material. Say it back in your own words.
Teach it to someone else, or to an empty chair if no one is around. The struggle of retrieval is where the actual learning happens. Reading your notes again is watching someone else do the work.
His parting line has stayed with me longer than almost anything else I have read about learning.
He told the room that if what he shared didn't change their behavior, they hadn't actually learned it. It would just live in their heads as something they had heard once and felt good about.
He was right. And most people leave every lecture exactly like that.
The students who remember everything aren't putting in more hours.
They stopped confusing the feeling of studying with the fact of it.
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CANCEL Your Weekend Plans, and Learn Claude Code Today.
$6,000/month. $10,000/month. $15,000/month.
The People Who Will Replace You at Work Are Learning Claude Code Right Now.
You're Choosing Netflix.
That's what people are making with AI right now.
You're making dinner reservations and calling it "self care."
That's not self care. That's self sabotage with better lighting.
Because while you're "taking it easy,"
someone with the same laptop as you
just made their first $3,000
using tools you haven't even opened yet.
The AI gold rush is happening RIGHT NOW.
This YouTube video is a goldmine.
I'm not exaggerating. Everything you need to go from complete beginner to Claude Code pro is in this one video.
Save it. Watch it tonight. Not tomorrow. Tonight.
Save this post. This is your entire roadmap. Lose it and you lose the next 12 months. Follow @codewithimanshu so you don't miss the breakdowns for each one.
↓
1. Learn Claude Code.
Everyone's talking about ChatGPT.
Nobody's talking about Claude Code.
That's why the people using Claude Code
are making money
and the people using ChatGPT
are making tweets about making money.
Claude Code runs in your terminal.
It doesn't just chat.
It reads your entire codebase.
Writes files. Runs commands.
Debugs errors. Builds features end to end.
It's not an assistant.
It's a developer that works 24/7
and never asks for a raise.
People are building entire SaaS products
with Claude Code in a single afternoon.
Charging clients $5,000-$10,000 for apps
that took them 3 hours to build.
You can't even open your terminal
without Googling "how to open terminal."
That's the gap.
And it's getting wider every day.
If you learn one thing this week, make it Claude Code. Everything else multiplies from here. Save this post and follow @codewithimanshu for the full Claude Code setup guide.
↓
2. Learn Cowork. Build 1-2 practical workflows.
Claude Code is the brain.
Cowork is the body.
Cowork controls your desktop.
Opens apps. Moves files.
Executes multi-step workflows
without you touching anything.
One workflow can replace 4 hours of daily work.
Content repurposing.
Lead research.
Client onboarding.
Report generation.
Email sequences.
Build 2 workflows this week.
Just 2.
That's 8 hours of your life back.
Every single week.
Forever.
You're working 50 hours a week
doing things a workflow handles in 5 minutes.
That's not hustle.
That's stupidity with extra steps.
Stop doing manually what a machine does better. Save this post so you can set up your first workflow tonight. Follow @codewithimanshu for the exact workflow templates.
↓
3. Set up Perplexity Computer / Perplexity Finance.
Google gives you 10 blue links
and hopes you figure it out.
Perplexity gives you the answer.
With sources. With data. With context.
Perplexity Computer can browse for you.
Click things. Fill forms. Extract data.
Perplexity Finance pulls real-time
financial data, earnings, analysis.
While you're spending 45 minutes
Googling "is NVIDIA a good buy right now"
and reading 7 contradicting articles,
Perplexity Finance gives you the answer
in 10 seconds.
With real numbers.
Not opinions from anonymous Reddit accounts.
You're making financial decisions
based on a guy called CryptoKing420
who lives in his mom's basement.
Set up Perplexity this week
or keep Googling like it's 2015.
This tool alone changes how you research everything. Save this post. Follow @codewithimanshu because I'll be doing a full Perplexity Finance breakdown soon.
↓
4. Optimise Cowork. Plug-ins + Skills.
Setting up Cowork is step one.
Optimising it is where the money is.
Most people set up one basic workflow
and think they're done.
That's like buying a Ferrari
and only driving it to the grocery store.
Plug-ins extend what Cowork can do.
Skills teach it new capabilities.
Connect it to your CRM.
Connect it to your email.
Connect it to your calendar.
Connect it to your file system.
Now it's not just doing one task.
It's running your entire operation.
The difference between a $0 Cowork setup
and a $6,000/month Cowork setup
is plug-ins and skills configuration.
Same tool. Different results.
Because one person optimised it
and the other was too lazy to spend 30 minutes reading documentation.
That 30 minutes is worth $6,000/month. Save this post so you actually do it. Follow @codewithimanshu for the exact plug-in and skills setup I use.
↓
5. Set up OpenClaw.
If you've been following me,
you already know what OpenClaw does.
It trades for you.
It researches for you.
It monitors markets for you.
24/7. No sleep. No emotions. No mistakes.
People are making $5,000-$50,000/month
with OpenClaw bots running on autopilot.
You know this.
You've seen the posts.
You've seen the wallet proofs.
And you still haven't set it up.
Because "you'll do it this weekend."
It's been 6 weekends.
How many more before you actually do something?
Set it up this week or stop complaining
about not having enough money.
You literally have a money printer available
and you won't press the button.
I've posted the complete OpenClaw setup guide already. Save this post and scroll my profile to find it. Follow @codewithimanshu if you haven't already.
↓
6. Test Google AI products.
Nano Banana 2.
NotebookLM.
Gemini Deep Research.
Google is dropping AI tools
faster than you can say "I'll try it later."
NotebookLM turns any document
into an interactive AI research assistant.
Upload your business plan.
Upload competitor analysis.
Upload market research.
Now you have an AI
that knows everything about your business
and can answer any question instantly.
Nano Banana 2 runs locally.
On your device. No cloud. No API costs.
You're paying $20/month for AI access
when Google just gave you a model
that runs for free on your phone.
But you wouldn't know that
because you're still using Google
to search "best AI tools 2026"
instead of actually testing them yourself.
Google is literally handing you free AI and you're too busy to grab it. Save this post. Follow @codewithimanshu for breakdowns of every new Google AI product as it drops.
↓
7. Experiment with agentic solutions. Manus.
Chatbots answer questions.
Agents complete tasks.
That's the difference
between making $0 with AI
and making $10,000/month with AI.
Manus is an AI agent
that can browse the web,
write code, manage files,
and execute multi-step projects
completely autonomously.
You give it a goal.
It figures out the steps.
It executes them.
It delivers the result.
You didn't break the task down.
You didn't manage the process.
You didn't do anything.
The agent did everything.
This is what's replacing
$50/hour freelancers right now.
If your entire job can be described as
"take this input and produce this output,"
an agent is coming for it.
Either you learn to use agents
or agents learn to replace you.
There's no third option.
This isn't a trend. This is the future arriving ahead of schedule. Save this post and follow @codewithimanshu so you're building agents, not getting replaced by them.
↓
8. Use AI to create business plan / strategy / context files.
You don't have a business plan.
You have a vague idea in your head
that changes every time you see
someone else making money online.
"I'll start a newsletter."
"Actually maybe dropshipping."
"Wait, what about AI automation?"
"Ooh, crypto bots look cool."
You've had 15 different business ideas this year
and zero business plans.
That's why you have zero revenue.
Sit down. Give Claude your idea.
Let it build you a complete business plan.
Market analysis. Revenue model.
Customer acquisition strategy.
Competitive analysis. Financial projections.
In 20 minutes you'll have a business plan
better than what MBA students
spend 3 months building.
And it's free.
But you won't do it
because "planning isn't as exciting as doing."
You're not doing anything either.
So you might as well plan.
Stop jumping between ideas every week. Save this post. Follow @codewithimanshu and I'll show you the exact prompt to build a complete business plan in 20 minutes.
↓
9. Build an AI second-brain database in Notion.
Your brain is not a database.
Stop treating it like one.
Every article you read. Every idea you have.
Every strategy you learn. Every contact you make.
Every project you work on.
It all goes into Notion.
Organized. Searchable. Connected.
Then you plug AI into it.
Now you have a second brain
that remembers everything
and can connect dots you'd never see.
"What was that strategy I read about 3 months ago?"
Your brain: "I don't know, man."
Your Notion AI: "Here it is, with 4 related notes
and 2 action items you never completed."
The smartest people aren't the ones
who know the most.
They're the ones who can find anything
they've ever learned in 5 seconds.
That's a second brain.
Build it this week.
Every smart person I know has a second brain. Every broke person I know has 47 open browser tabs and no system. Save this post. Follow @codewithimanshu for my exact Notion AI setup.
↓
10. Experiment with Notion Agents. Brand new.
Notion just dropped agents.
Most people don't even know this exists yet.
Notion Agents can:
> Automatically organize your workspace
> Summarize meeting notes
> Create tasks from documents
> Monitor changes and alert you
> Connect with your existing workflows
Your second brain just got its own brain.
It's not just storing information anymore.
It's acting on it.
While you're manually dragging cards
between columns on a Kanban board
feeling productive,
Notion Agents are doing it automatically
for people who actually have things to do.
This is brand new. Almost nobody is using it yet. That means almost nobody is teaching it. Save this post because I'm one of the few breaking this down. Follow @codewithimanshu.
↓
11. Learn basic automation tools. MCPs, Zapier, n8n.
If you're doing anything more than once,
you should be automating it.
Email comes in → automatically saved to CRM.
Form submitted → automatically creates project folder.
Invoice paid → automatically sends onboarding email.
Zapier and n8n connect your tools together.
No code. Just drag and drop.
MCPs let AI agents talk to external services.
Your Claude bot can now access Google Drive,
Slack, Gmail, calendar, and hundreds of other tools.
Directly.
The person making $10K/month
has 15 automations running in the background.
The person making $0/month
is doing those same 15 things
by hand.
Every day.
And calling it "work."
It's not work.
It's wasted life.
Automate or stagnate. Those are your only two options in 2026. Save this post. Follow @codewithimanshu for free automation tutorials every single week.
↓
12. Learn prompt engineering.
This is the one everyone skips.
And it's the one that matters most.
AI is only as good as what you tell it.
Bad prompt = bad output.
Good prompt = money.
"Write me a business plan" → garbage.
"Act as a startup consultant with 20 years experience.
Create a detailed business plan for an AI automation agency
targeting small business owners in the US.
Include market sizing, revenue model,
customer acquisition channels,
competitive analysis, and 12-month financial projections.
Format as sections with headers." → gold.
Same AI.
Same tool.
Same cost.
Completely different result.
Because one person learned to communicate
and the other one didn't.
The better you prompt,
the better your outputs.
The better your outputs,
the more money you make.
It's that simple.
Most people's AI outputs are trash because their prompts are trash. Save this post. Follow @codewithimanshu and I'll teach you prompt engineering that actually makes money.
↓
13. Read AI articles.
Not Twitter threads.
Not YouTube shorts.
Not TikToks with AI voice-overs.
Actual articles.
Research papers.
Company blogs.
Technical deep dives.
Anthropic's blog.
OpenAI's research page.
Google DeepMind's publications.
Hacker News.
ArXiv.
This is where the real information lives.
Not in some influencer's "Top 10 AI tools" reel
that's just a paid ad disguised as advice.
The people making real money with AI
are reading the source material.
The people losing money
are watching recaps of recaps of recaps.
Be the person who reads the paper,
not the person who watches someone
summarize someone else's summary.
Reading is the most underrated AI skill. Everyone wants the shortcut. Nobody wants the knowledge. Save this post. Follow @codewithimanshu for curated AI articles that actually matter.
↓
14. Dive into robotics.
"Robotics? I'm not an engineer."
Neither were the people who made millions
from crypto without being cryptographers.
Neither were the people who made millions
from AI without being researchers.
You don't need to build the robot.
You need to understand the industry
before everyone else does.
Physical AI is the next wave.
Tesla Optimus.
Figure AI.
Google DeepMind robotics.
NVIDIA Isaac.
The same people who laughed at crypto in 2015
are about to laugh at robotics in 2026.
Then cry in 2028
when the early movers are millionaires.
You've already missed one wave.
Don't miss this one.
Robotics is where AI meets the physical world. And that's where the real money will be. Save this post. Follow @codewithimanshu for robotics investment breakdowns coming soon.
↓
15. Research AI stocks / ETFs / investment arbitrages.
While you're spending 8 hours a day
working FOR money,
your money should be working FOR you.
AI stocks are not a trend.
They're the new infrastructure.
NVIDIA. Microsoft. Google. Anthropic ecosystem.
AI ETFs. Semiconductor plays.
Prediction market arbitrages.
The people who invested in NVIDIA at $15
aren't smarter than you.
They just paid attention earlier.
Right now, there are AI companies
trading at prices that will look insane
in 2 years.
And you're not researching them
because "investing is complicated."
It's not complicated.
It's uncomfortable.
Because investing means admitting
that your income from working
will never be enough.
Your salary makes you a living.
Your investments make you wealthy.
One without the other
and you're working until you're 70.
This is the last section but probably the most important. Your future self will thank you or blame you for what you do this week. Save this post. Follow @codewithimanshu for AI stock picks and investment breakdowns.
↓
Let's zoom out.
I just gave you 15 things.
15 skills.
15 tools.
15 unfair advantages.
All available right now.
Most of them free.
The person who learns even 5 of these
in the next 30 days
will be in the top 1% of AI users.
The top 1% of AI users
are the ones making money.
Everyone else is using AI
to write birthday messages
and argue with chatbots.
Same tools. Same access.
Completely different outcomes.
Because one person treats AI like a toy.
And the other treats it like a business.
↓
Here's the hard truth
nobody wants to hear.
You don't have a knowledge problem.
You have an action problem.
Everything I just listed
has free tutorials available right now.
Free YouTube videos.
Free documentation.
Free community support.
Free tools to get started.
The information has never been more accessible.
And you've never been more inactive.
You have more AI tools available to you
than entire corporations had 5 years ago.
And you're using them for nothing.
That's not bad luck.
That's a choice.
And every day you choose to "start later"
is a day someone else starts today.
↓
CANCEL your plans this week.
This isn't optional anymore.
The people learning these tools right now
will be employing the people
who didn't learn them.
That's not a prediction.
That's already happening.
Every job posting now says "AI experience preferred."
Next year it'll say "AI experience required."
The year after that, the job won't exist.
You have one window.
Right now.
This week.
Use it or lose to someone who did.
↓
Here's your action plan for the next 7 days:
Day 1-2: Claude Code + Cowork basics
Day 3: Perplexity setup + Notion second brain
Day 4: OpenClaw setup + first automation
Day 5: Prompt engineering + MCP/Zapier basics
Day 6: Test Google AI tools + Notion Agents
Day 7: AI stocks research + Manus experiments
7 days.
15 skills.
One completely different life.
Or 7 more days of scrolling Twitter
watching other people do it.
Your call.
↓
This is the most important post
you'll read this year.
I'm not saying that to be dramatic.
I'm saying that because everything I listed
is the exact roadmap for making money with AI in 2026.
Not theory.
Not motivation.
Not "mindset content."
Actual tools. Actual skills. Actual money.
Save this post.
Come back to it every single day this week.
Check off each item as you complete it.
The only thing between you and $10K/month with AI is this week.
Don't waste it.
You Must Follow me @codewithimanshu, so i can send you DM.
A lot of people worry that AI means eliminating human expertise.
Our AI assessment system retains human oversight of every single essay, and builds in real human feedback.
But it is also incredibly efficient!
To give it a go, you can join an intro webinar or book a call with me.
https://t.co/3riG62mnjm
Loved this discussion about grade inflation and parental information. A few reactions:
1) Early connection (by Mike) to expectations is exactly right! We argue for high expectations but the evidence is increasingly that we don't have them for grades.
1/n
https://t.co/eJdNBswVbz
Ladies and Gentlemen, if you enjoy this account, and care for Britain's lost and living pubs, kindly follow (if you don't already) and share this post in order to help others find us. Thank you all for your support. 🤝
The best AI courses are FREE as well:
1. Anthropic: https://t.co/ZX4BM8XD3q
2. Google: https://t.co/F7jIuJgfWy
3. Meta: https://t.co/uzLPHYP91Y
4. NVIDIA: https://t.co/TmQ4Rxnznd (GOATed)
5. Microsoft: https://t.co/q3uQTrdlxR
6. OpenAI: https://t.co/DzbPoCEGNG
7. IBM: https://t.co/yP3Z1RSMIK
8. AWS: https://t.co/5C5hv3iwBD
9. DeepLearningAI: https://t.co/l11fkw0dyJ
10. Hugging Face: https://t.co/AeTtNPrJzl
Never pay for AI courses.
The best ones from the industry LEADERS are completely free.
This teacher-turned-cognitive scientist shared a disturbing reality that left the room stunned.
“Our kids are LESS cognitively capable than we were at their age.”
Every previous generation outperformed its parents since we began recording in the late 1800s.
So, what happened?
Screens.
Dr. Jared Horvath explained:
“Gen Z is the first generation in modern history to underperform us on basically every cognitive measure we have, from basic attention to memory, to literacy, to numeracy, to executive functioning, to EVEN GENERAL IQ, even though they go to more school than we did.”
“So why? … The answer appears to be the tools we are using within schools to drive that learning (screens).”
“If you look at the data, once countries adopt digital technology widely in schools, performance goes down significantly, to the point where kids who use computers about five hours per day in school for learning purposes will score over two-thirds of a standard deviation LESS than kids who rarely or never touch tech at school. And that’s across 80 countries.”
But screens aren’t just decimating learning and making new generations less intelligent than the ones before them.
They’re doing something far worse. And when you take a closer look, it isn’t pretty. 🧵