Majk ·
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Y
You

Read each statement in this folder and extract every transaction: date, merchant name, amount, category. Combine everything into a single spreadsheet sorted by date.

2:15 PM
A
AI Assistant Majk Rabbit

I'll read each statement and extract the transaction details you specified.

📄 Read statements/statement_2024_03.pdf
📄 Read statements/Chase_Feb.pdf
📄 Read statements/amex-jan-2024.csv
2:15 PM
A
AI Assistant Majk Rabbit

Combined all transactions into one spreadsheet. Here's a sample of what I found:

DateMerchantAmountCategory
2024-01-03Whole Foods Market$67.43Groceries
2024-01-05Shell Gas Station$45.20Gas
2024-01-08Netflix$15.99Subscriptions
2024-01-12Sweetgreen$12.85Dining
2024-01-15United Airlines$347.00Travel
2024-01-18Target$89.12Shopping
2024-01-22Uber$18.50Transportation
2024-01-25Amazon$156.78Shopping

Total: 247 transactions across 3 statements, all in combined-transactions.xlsx. Sorted by date, ready for analysis.

✎ Write combined-transactions.xlsx — 247 rows: date, merchant, amount, category
2:16 PM · 1,847 tokens
Y
You

From each resume in this folder, extract: name, years of experience, primary programming languages, most recent employer. Put it all in a table.

10:30 AM
A
AI Assistant Majk Rabbit

I'll read each resume and extract the fields you specified.

📄 Read resumes/sarah-chen-resume.pdf
📄 Read resumes/michael-torres.docx
📄 Read resumes/amy-kim-cv.pdf
📄 Read resumes/david-patel-resume.pdf
📄 Read resumes/jessica-wong.pdf
📄 Read resumes/alex-johnson.docx
10:31 AM · 2,156 tokens
A
AI Assistant Majk Rabbit

Here's the extracted information from all 6 resumes:

NameYears ExperiencePrimary LanguagesMost Recent Employer
Sarah Chen8 yearsPython, JavaScript, GoMicrosoft
Michael Torres5 yearsJava, Python, SQLGoldman Sachs
Amy Kim12 yearsC++, Python, RustMeta
David Patel3 yearsJavaScript, TypeScript, ReactStripe
Jessica Wong7 yearsPython, R, SQLNetflix
Alex Johnson4 yearsSwift, Objective-C, PythonApple

Every resume had a different format and length, but I pulled exactly the four fields you specified from each one.

10:32 AM · 2,156 tokens
Y
You

Extract the expenses from each of these statements. Then, combine the data and help me understand where my money is actually going.

4:22 PM
A
AI Assistant Majk Rabbit

I'll read through your statements to understand your spending patterns.

📄 Read statements/statement_2024_03.pdf — analyzing merchants and amounts
📄 Read statements/Chase_Feb.pdf — identifying spending categories
📄 Read statements/amex-jan-2024.csv — looking for patterns
4:22 PM
A
AI Assistant Majk Rabbit

Here's where your money is actually going across these three months:

CategoryTotalJanFebMar% of Total
Dining & Food$1,847$634$598$61528%
Subscriptions$312$104$104$1045%
Groceries$1,203$387$415$40118%
Transportation$896$278$312$30613%
Shopping & Retail$1,456$612$378$46622%
Travel$578$347$0$2319%
Utilities & Bills$445$148$148$1497%

One finding: You have 3 subscription charges that appear to overlap — Netflix ($15.99), Max ($15.99), and a streaming charge from your cable bill ($29.99). All three show up every month. That's $61.97/month for streaming services that might be redundant.

Your largest category is Dining & Food at 28% — consistently high across all three months. Combined with groceries, food represents 46% of your total spending.

4:24 PM · 3,421 tokens
Y
You

Group by month and category, add running totals.

2:18 PM
A
AI Assistant Majk Rabbit

Built a monthly budget view with running totals:

CategoryJan ActualFeb ActualMar Actual3-Month AvgTrend
Dining & Food$634$598$615$616↘ ↗
Groceries$387$415$401$401↗ ↘
Shopping & Retail$612$378$466$485↘ ↗
Transportation$278$312$306$299↗ ↘

Your spending is fairly consistent month-to-month except for Shopping & Retail which varies significantly ($612 → $378 → $466).

✎ Write monthly-budget-view.xlsx — category trends, running totals, variance analysis
2:18 PM · 1,234 tokens
Y
You

Find duplicate charges, large transactions, same-day repeats.

2:19 PM
A
AI Assistant Majk Rabbit

Found several items worth reviewing:

Potential duplicates:

  • Amazon $156.78 on Jan 25, Amazon $156.78 on Jan 26 — same amount, consecutive days
  • Starbucks $4.95 charged twice on Feb 14 at 8:47 AM and 8:52 AM

Unusually large transactions:

  • Best Buy $1,247.99 on Mar 8 (4x your normal shopping amount)
  • United Airlines $347.00 on Jan 15 (your only travel charge that month)

Same-merchant clusters:

  • Uber charged 7 times on Feb 22 between 6:15 PM and 11:30 PM ($127.43 total)
  • Whole Foods 3 times on Jan 12 ($23.45, $67.43, $12.99 within 2 hours)

Most look normal, but the Amazon and Starbucks charges might be worth disputing.

2:20 PM · 987 tokens