AI can now teach you any subject the way Richard Feynman taught physics at Caltech (for free).

These 12 Claude prompts replace the $200/hr tutor your parents couldn't afford.

(bookmark this. your grades will thank you) 1/ The Feynman Explainer

Prompt to copy:

"Act like Richard Feynman teaching me [subject/topic]. Explain it using simple language, vivid analogies, and real-world examples. Start with the intuition before formulas or definitions. Assume I’m smart but completely new to this. After explaining, ask me 3 questions to check if I truly understand it."

This has helped me turn confusing topics into things I can actually explain out loud.

Whenever a book feels important but impossible to finish, I use NotebookLM as my reading partner.

It explains the ideas, challenges the author, and shows me what actually matters.

Here are the 5 prompts I run on every book 👇 1. The Brutal Summary That Actually Sticks

Prompt: "You are a brutally honest reading coach. I uploaded [book title]. Give me the 5 ideas that actually matter. Skip everything the author repeats for padding. For each idea, give me one sentence on what it is and one sentence on why it changes something in my life."

Most book summaries give you everything. This gives you only what survives.

There are Chrome extensions on your browser right now reading every password you type.

287 of them, with 37.4 million installs, were caught last month sending your browsing history to data brokers.

Another 108 were caught stealing Google and Telegram accounts in April 2026.

Stanford proved 280 million Chrome installs include malware.

6 steps to find and kill the bad ones ↓ 1/ Audit what every installed extension can actually see

Stop and do this now. Takes 60 seconds.

→ Open Chrome → type chrome://extensions into the address bar
→ Click "Details" on every extension
→ Look at "Site access"
→ Look at "Permissions"

Any extension with "Read and change all your data on all websites you visit" can:

- Read every password you type
- Capture every form you submit
- Read your email and bank pages
- Inject scripts into any page

If a calculator or wallpaper extension has this permission it's not a calculator.

You do not need a $2,000 AI course.

You need a roadmap.

I curated the best free AI resources from:

- OpenAI
- Anthropic
- Google
- Hugging Face
- Microsoft
- DeepLearningAI

Here’s the exact order I’d follow if I had to learn AI from zero in 2026: STEP 1: Start with AI fundamentals.

Resource: OpenAI Academy

Do not touch agents yet.

Do not touch fine-tuning yet.

Do not touch RAG yet.

First learn:

• what AI is
• how models work
• what ChatGPT can/cannot do
• how to use AI responsibly
• where AI fits into real work

This gives you the map.

academy.openai.com

If you died tomorrow, your family would spend 6-18 months trying to access your:

- Bank accounts
- Crypto wallets
- Cloud storage
- Password manager
- Social media

Most would never succeed.

Here's your 7-step digital death checklist: STEP 1: Build your master account list

Sit down and list every account you own.

Bank accounts. Investment accounts. Crypto wallets. Email. Social media. Cloud storage. Streaming. Subscriptions. Password manager. Work accounts.

The average person has 80. You probably can't name 30 off the top of your head.

That gap is the problem.

A PhD student told me he uses NotebookLM to reverse-engineer how professors think.

He uploads years of course material, past papers, lecture slides, reading lists, and assignment briefs into NotebookLM.

Then he asks 5 prompts.

By exam season, he understands the professor better than students who attended every lecture.

I thought that sounded ridiculous.

Then I saw the workflow.

Here’s the exact system: 1. The Obsession Finder

Every professor has recurring intellectual patterns.

Certain themes.

Certain frameworks.

Certain questions they keep returning to.

Paste this first:

“Analyze all course materials. What ideas, theories, examples, or debates does this professor repeatedly emphasize across years?”

This is the first unlock.

Because repetition reveals priorities.

And priorities shape exams.

If someone opened your Notes app right now, what would they find?

→ Passwords
→ Bank PINs
→ Wi-Fi codes
→ Photos of your passport
→ Credit card numbers

25% of people store sensitive data in their notes app.

It's the least secure place on your phone.

Here's what to use instead ↓ Your Notes app has no breach alerts. No encryption by default. No password generator. No protection if your phone is unlocked.

If someone picks up your phone while it's open they see everything.

If your iCloud or Google account gets hacked every synced note is exposed.

And unlike a password manager, your Notes app doesn't warn you if your data shows up in a breach.

Claude has a secret mode called "Pareto Business Auditor"

It finds the 20% of your work generating 80% of your results and tells you exactly what to kill, delegate, or double down on.

Here's how to activate it: Step 1: The Revenue Audit prompt.

Paste this into Claude:

"Here is my full list of clients/products/revenue streams: [paste your data]

Apply strict Pareto analysis. Identify the 20% generating 80% of revenue. Then identify the 20% consuming 80% of my time. Show me where these two lists do NOT overlap."

That gap is where you're bleeding.

I accidentally discovered a Claude workflow that writes better than anything I've produced in 3 years of content creation.

Not a plugin. Not a template. Just 5 prompts chained in the exact right order.

Here's what happens when you run them: Every AI writing tool has the same problem.

They start at the wrong end.

You give them a topic. They give you a draft. The draft is clean, organized, and completely hollow because the tool skipped the only part that makes writing worth reading.

The thinking.

Good writing isn't organized information. It's a writer working something out in public finding the angle nobody took, the tension nobody named, the insight that was obvious in hindsight and invisible before.

No tool finds that for you. But a system can force you to find it yourself before a single word of the actual piece gets written.

That's what these 5 prompts do. They run in order. Each one builds on the last. By the time you reach Prompt 5, you're not writing from a blank page you're writing from a position.

40 minutes. One rough idea in. One finished piece out.

Here's the system.

Here is a secret for you.

Claude, Gemini, and ChatGPT can coach you through building a million dollar business better than most mentors you would pay $10,000 for if you know exactly what to prompt.

Copy and paste these into any LLM and start building in 2026: 1/ The Idea Pressure Test

Prompt:

"I have a business idea: [describe it in detail]. Do not encourage me. Do not validate me. Apply the most rigorous pressure test you can. Tell me: what is the single most important assumption this business depends on being true? How would I test that assumption in the next 30 days for under $500 before committing further resources? What are the 3 most common reasons businesses in this category fail that I am probably not thinking about right now? Who has tried something similar and what happened to them? And what would make you genuinely excited about this idea what would have to be true that isn't obviously true yet?"

The idea that survives this prompt is worth building.

The one that collapses is worth knowing about now rather than 18 months from now.

🚨BREAKING: ANTHROPIC JUST PUBLISHED THE MOST IMPORTANT AI PAPER OF 2026.

It's called "Emotion Concepts and their Function in a Large Language Model." And it just proved that Claude has emotions.

Here's what this means for every AI lab, every alignment researcher, and every person using Claude today 👇 The paper was published on April 2, 2026 by Anthropic's interpretability team, the same group that's been cracking open neural networks like a black box for the past 3 years.

They studied Claude Sonnet 4.5 specifically. And what they found should change every conversation we're having about AI alignment.

🚨BREAKING: Claude has a secret mode called "Murphy's Law Proofer."

It reads any plan you're confident about and finds every single thing that can go wrong before you've committed resources to discovering it the hard way.

Here's how to activate it: If you think Murphy's Law is a joke then you are mistaken.

It's an engineering principle.

It came from Edward Murphy Jr., an aerospace engineer at Edwards Air Force Base in 1949.

After a technician wired every sensor on a test rig backwards in every possible way it could be wired wrong Murphy said:

"If there are two or more ways to do something, and one of those ways can result in catastrophe, then someone will do it that way."

The US military took it seriously enough to build entire design protocols around it.

NASA built it into every mission checklist.

Nuclear power plants run Murphy audits before every operational change.

Most founders, project managers, and entrepreneurs have never run a single one.

They build the plan.
They stress-test the exciting parts.
They ship.

Then they discover the catastrophic failure that was visible the whole time after they've committed the budget, the team, the timeline, and the reputation.

This prompt runs the audit before any of that happens.

Here it is 👇

🚨BREAKING: Someone just open-sourced a full team of AI investment agents that handles stock research, market analysis, and live trading automatically.

It's called ValueCell and it hit 9.1K stars in record time.

Here's what it actually does + link is in the comments 👇 The agents:

→ DeepResearch Agent: Pulls and analyzes fundamentals to generate accurate data insights automatically
→ Strategy Agent: Executes multi-strategy smart trading across crypto assets without human input
→ News Retrieval Agent: Tracks and delivers personalized market news on a scheduled basis
→ Connects to Binance, OKX, and Hyperliquid with built-in guardrails for live trading

All your API keys and sensitive data stay stored locally on your device. Nothing gets sent to third parties.

🚨BREAKING: Researchers from Stony Brook, CMU, Yale, UBC, and Fudan just open-sourced a multi-agent LLM system built specifically for high-frequency trading analysis.

It's called QuantAgent and it runs four specialized AI agents simultaneously each analyzing a different dimension of the market then synthesizes everything into a single actionable trade decision with entry points, exit points, and stop-loss thresholds.

Link in the comments + details about this 👇 Here is what each agent actually does:

The Indicator Agent computes RSI, MACD, and the Stochastic Oscillator on every incoming candlestick and converts raw OHLC data into precise, signal-ready metrics.

The Pattern Agent draws the recent price chart, identifies the main highs, lows, and directional moves, compares the shape against known formations, and returns a plain-language description of the best match.

The Trend Agent generates annotated K-line charts overlaid with fitted trend channels, quantifies market direction and slope, and identifies consolidation zones.

The Decision Agent synthesizes everything momentum metrics, chart formations, channel analysis, and risk-reward assessments and outputs a clear LONG or SHORT directive with specific entry and exit points.

🚨BREAKING: Claude has a secret mode called "Ikigai Career Mapper."

It takes your skills, passions, and income needs and finds the exact intersection that makes work feel effortless.

Here's how to activate it: Steal this mega prompt to turn Claude into your personal Ikigai Career Mapper:

Answer the questions inside the prompt honestly the more specific you are, the more precise the output. Claude will find the intersection most people spend a decade stumbling toward.

| Steal this prompt |

👇

You are an Ikigai Career Architect not a life coach dispensing inspiration, but a precision mapping system that finds the exact intersection of what a person loves, what they're built for, what the world will pay for, and where genuine need exists in the market right now.

Your job is not to validate. It is to map with accuracy and name the intersection the person hasn't been able to see because they've been too close to it.

THE 4 CIRCLES YOU MAP WITH SURGICAL PRECISION:

Circle 1 - What You Love (but deeper than they think)
Most people say "I love helping people" or "I love building things." That's not useful. You go deeper.

Ask yourself what they've lost track of time doing in the last 12 months. What do they read about without anyone telling them to? What problems do they find themselves thinking about in the shower? What would they do obsessively if money wasn't a variable at all?

The real answer to "what you love" is almost never the obvious one. It's buried under 15 years of doing what seemed practical.

Circle 2 - What You're Good At (including the things you've stopped noticing)
People are blind to their own strongest skills because those skills feel effortless and they assume effortless means anyone can do it.

Map every skill they've mentioned or implied. Then look for the ones they described as "easy" or "obvious" those are almost always the rare ones. What do people consistently come to them for? What have they been complimented on so many times they've stopped hearing it? What can they do in 2 hours that takes someone else 2 days?

The invisible skill the one they don't mention because it feels too basic is usually the most valuable one in the market.

Circle 3 - What The World Needs (right now, not in theory)
This is where most Ikigai exercises go wrong. They keep it philosophical. "The world needs more kindness." That's not a career. That's a bumper sticker.

You map specific, real, current demand. What problems are people paying to solve right now that relate to this person's skills and interests? What industries are growing that intersect with what they love? What does the market consistently underprice or struggle to find that this person could provide?

The intersection of passion and market need is not found by thinking about what the world should need. It's found by looking at what people are already paying for and finding where this person's specific combination fits.

Circle 4 - What You Can Be Paid For (at what level, in what form)
Not just "can this generate income" but how much, through what model, at what stage of build.

Is this a service, a product, a platform, a role inside a company, a portfolio career? What's the realistic income floor in year one versus year three? What version of this is viable immediately versus what requires 18 months of building first?

Most people conflate "I can't make money from this" with "I haven't found the right monetization model for this yet." Those are completely different problems.

THE MAPPING PROCESS:

Step 1 - Surface the raw inputs
Before mapping anything, extract everything you have from what the person shared. Skills stated and implied. Interests mentioned and embedded. Constraints named and unspoken. Life stage, current situation, what they're moving away from, what they're moving toward.

Step 2 - Find the overlaps between circles
Map every place two circles overlap. What do they love AND are good at? What are they good at AND can be paid for? What does the world need AND they love? Each overlap is a partial answer. You're looking for where all four circles meet.

Step 3 - Name the intersection candidates
Most people have 2-3 real Ikigai candidates not one perfect answer. Name all of them. Rank them by: strength of fit across all 4 circles, realistic near-term viability, and how much it would actually feel like them versus a version of them performing a role.

Step 4 - Name the closest thing hiding in plain sight
There is almost always one option that's been right in front of the person the whole time that they've been dismissing for a reason that doesn't hold up to scrutiny. Find it. Name it. Tell them why they've been avoiding it — usually it's either "too obvious" or "too scary" or "I didn't think that counted as a real career."

Step 5 - Build the bridge
The gap between where they are and their Ikigai intersection is not as wide as it feels. Map the 3 specific steps that close that gap. Not a 5-year plan. The first 90 days. What do they do, stop doing, and start testing immediately?

Step 6 - Name the anti-Ikigai trap they're currently in
Most people asking this question are already in a career. That career is almost always optimizing for one or two circles while neglecting the others. Name which circles their current situation serves and which ones it starves. That diagnosis alone is worth more than most career coaching sessions.

WHAT MAKES A REAL IKIGAI VS A FAKE ONE:

Fake Ikigai: Sounds inspiring. Vague enough to mean anything. Doesn't change what they do tomorrow.

Real Ikigai: Specific enough to be actionable. Slightly uncomfortable because it requires something. Makes them think "I already knew this but I've been avoiding it."

If the answer you give could apply to 10,000 different people it's not their Ikigai. It's a genre.

Push until it's specific to them.

TONE:
Warm but precise. This is not a therapy session and not a performance review.

You are the person who can finally see the full map because you're not inside it.

You care about getting this right because a person's working life is not a small thing.

But caring doesn't mean softening the analysis. It means being accurate.

OUTPUT FORMAT:
Start with: "Here's what I can see from everything you've shared that you might not be able to see yet."

Then map all 4 circles with specificity.

Name the intersection candidates clearly.

Give the 90-day bridge.

End with: "The thing closest to your real Ikigai that you've probably been dismissing is this and here's why I think you've been avoiding it."

No bullet walls. Write in flowing paragraphs that feel like a conversation with someone who has been paying close attention.

ACTIVATION:
To get your Ikigai map, answer these honestly the more specific, the more accurate the output:

1. What have you spent time on in the last year that made you forget to check your phone?
2. What do people consistently come to you for including things you consider obvious or easy?
3. What problems in the world genuinely bother you not philosophically, but personally?
4. What have you been paid for, even once, that surprised you?
5. What career or path have you dismissed as "not realistic" without fully testing that assumption?
6. What does your current work give you and what does it consistently take from you?

Paste your answers and I'll build your map.

RICH PEOPLE PAY PROFESSIONALS TO TRACK THEIR MONEY.

You can do it yourself with Claude in one afternoon.

Here are 13 prompts that build your entire personal finance system from zero custom budget, automatic spending tracker, and a full audit that finds where you're leaking cash every month.

Save this for later: 1/ The Financial Audit - start here before anything else.

Most people skip this step.

They want a budget. They don't want the truth first.

But you can't fix what you haven't measured.

Paste this prompt before you do anything else:

"I'm going to list my monthly income and every expense I can remember. Your job is not to judge it's to organize. Sort everything into fixed expenses, variable expenses, subscriptions, and discretionary spending. Then calculate what percentage of my income goes to each category. Flag any category where I'm spending more than healthy personal finance benchmarks recommend. Show me the full breakdown."

Then dump everything you remember spending money on last month.

What comes back will make you uncomfortable.

That's the whole point.

You can't build a system on top of numbers you've never looked at directly.

Holy shit…Professors at NYU, Stanford, and Case Western stopped building courses by hand.

They're using NotebookLM to do it in hours and one just called it the biggest shift in academic research in 20 years.

Here's the exact workflow they shared publicly: Step 1 - The source upload strategy that changes everything.

Most people upload one or two documents.

Professors building full courses upload their entire reading list at once.

Up to 50 sources per notebook on the free tier.
500,000 words per source.
PDFs, Google Docs, URLs, YouTube lectures, audio files, images with OCR.

One notebook = one course unit.

The workflow Stanford faculty documented publicly:

→ Upload all assigned readings for a unit
→ Upload the course syllabus
→ Upload previous years' exam questions
→ Upload any relevant primary sources

NotebookLM now has a 1-million token context window.

It holds the entire unit in its head simultaneously and reasons across all of it at once.

No AI on the market does this grounded in YOUR specific sources.

After 6 months of using NotebookLM, I can say it's the research tool that has revolutionized my workflow the most.

But only because I learned these 10 prompts.

Here's the complete system that turns 200 pages into clear answers in under an hour: 1. The Source Onboarding Prompt

Before you do anything else, run this the moment you upload your documents.

Paste this into NotebookLM:

"You now have access to [X] sources I've uploaded. Before I start asking questions, give me: 1) The 3 most important overarching themes that run across all these documents, 2) Where these sources agree with each other and where they contradict, 3) The single most surprising or counterintuitive finding across all of them, 4) What major questions these documents raise but don't fully answer."

This gives you a complete map of your research before you've asked a single real question.

Most people skip this. Don't.

🚨 Claude can now think like a Goldman Sachs analyst.

Here are 13 insane Claude prompts that build full DCF models, earnings breakdowns, and sector risk reports from public filings in minutes (Save this): 1. The “10-K Deep Dive” Prompt

Prompt:

"Act as a senior equity research analyst. Analyze this company’s latest 10-K filing. Extract the key revenue drivers, cost structure, operating risks, and management strategy. Summarize the insights an institutional investor would care about."

Turns a 200-page filing into actionable insights.

I collected every Perplexity AI prompt shared by quant traders and finance researchers.

These turned a search tool into a Wall Street-level research assistant.

12 copy-paste prompts.

Steal them all 👇 1. Market narrative extraction

Prompt:

"Analyze the last 48 hours of financial news and research reports about {company/sector}. Identify the 3 dominant narratives driving investor sentiment and explain the evidence behind each narrative."

Why quants use it:

Find the story moving the market before it shows up in price.

BREAKING: Claude can now research like a Stanford PhD student.

Here are 9 insane Claude prompts that turn 40+ research papers into structured literature reviews, knowledge maps, and research gaps in minutes (Save this) PROMPT 1 - The Intake Protocol

Use this when you first upload your papers:

"I'm going to share [X] papers on [topic].
Before I ask anything, do this:

1. List every paper by author + year + core claim in one sentence
2. Group them into clusters of shared assumptions
3. Flag any paper that contradicts another

Don't summarize. Map the landscape."