MIT University Just Launched free Ai online courses.
No payment is required.
Below are 10 courses you can't to miss in 2026:
1. getting started with computer science and programming in python
topics:
• what computation really means
• the python language in practice
• a handful of straightforward algorithms
• a gentle, intuitive look at algorithmic complexity
• data structures and beyond
BREAKING: AI can now manage your entire personal finances (for free).
Here are 10 insane prompts that replace $3,000 financial advisors and $500/year budgeting apps: (Save for later)
1/ the zero-based budget blueprint
you’re a certified financial planner with 15 years in the field. build me a full zero-based budgeting system that actually fits my numbers.
include:
- income map: take-home pay, side hustle money, passive income, plus a true monthly average if pay varies
- core needs plan: housing, transportation, groceries, insurance, minimum debt payments (keep total essentials under 50% of income)
- lifestyle spend review: dining out, fun, subscriptions, hobbies with “what i spend now” vs “what i should spend” and the percentage for each
- goal stacking order: emergency fund size, debt payoff approach, retirement contributions (15%+ of gross), and any near-term goals
- 50/30/20 tune-up: show my current split vs the target, flag the categories where i’m leaking money, and give 5 specific cuts i can make right away
- automation game plan: which bills to put on autopay, exact savings transfer amounts and dates, and the checking account buffer i should keep
- monthly budget grid: every category with dollar targets, percent of income, and how far off it is from the ideal
- quick-start priorities: the 3 highest-impact moves i can implement this week, ranked
deliver it like an advisor-ready budget: clean tables, clear targets, and immediate next steps.
you’re a forensic money sleuth focused on tightening personal cash flow. i want you to dissect my spending and pinpoint exactly where my money is quietly slipping away.
please deliver:
- transaction mapping: sort every purchase into 15 categories, with totals and monthly averages
- biggest spend breakdown: the 10 largest individual charges and the 10 most common purchases, with repeat patterns called out
- subscription sweep: identify every recurring bill, compute total monthly cost, flag likely-unused subs, and estimate yearly savings if canceled
- behavior + timing insights: highest-spend day of the week, impulse windows (late night, weekends, mood-driven), plus month-to-month trend shifts
- leak hunting: bank/maintenance fees, atm fees, interest charges, food bleed (groceries vs. dining out), convenience and delivery fees, and tiny daily buys that add up fast
- benchmarking: compare my category spending to national norms for my income bracket
- optimization plan: 3 painless trims i won’t notice, 5 cuts that need small habit tweaks, and 2 major lifestyle changes with outsized impact
- savings math: projected monthly and annual savings for each tier of changes
- scorecard: letter grade (a–f) by category, how i stack up against peers, and the single biggest weakness dragging my finances down
present this as a thorough audit-style report with category tables, clearly marked red flags, and a prioritized action list to save the most with the least friction.
my expense data: [paste last 3 months of transactions or describe spending patterns]
Anthropic And OpenAI engineers leaked the prompting technique that separates beginners from experts.
It's called "Socratic prompting" and it's insanely simple.
Instead of telling the AI what to do, you ask it questions.
My output quality: 5.2/10 → 9.6/10
Here's how it works:
Most people prompt like this:
"Write a blog post about AI productivity tools"
"Create a marketing strategy for my SaaS"
"Analyze this data and give me insights"
LLMs treat these like generic requests.
They aim to be helpful fast, not thoughtful.
So they grab the most common patterns:
basic lists, vague frameworks, safe advice.
No audience. No constraints. No goal.
No examples to anchor on. No tradeoffs.
You don’t get strategy—you get filler.
Polished, confident, and painfully shallow.
Socratic prompting flips this.
Instead of telling the AI what to produce, you ask questions that force it to work the problem step by step: What’s the goal? What assumptions am I making? What evidence supports this? What would change my mind?
LLMs are trained on billions of examples where answers follow from questions.
Questions trigger that latent reasoning pattern—clarifying, checking, and refining.
Instructions often just trigger compliance: fast output, minimal thinking, confident guesses.
Here's how 9 prompts are turning my PDFs and notes into instant lessons:
1. broad strokes summary
request:
“i just uploaded this PDF. could you provide a concise summary of the whole document, highlighting its main themes and ideas, to introduce it to a newcomer?”
2. Guide Me as a Learner
Prompt:
“Break down the information in this document progressively, beginning with the fundamentals and then raising the complexity as we go. Imagine I'm encountering this topic for the very first time.”