La IA es mi nuevo empleado | Claude Code
Summary
A tech YouTuber explores how AI can make his audiovisual production company more productive, focusing on reducing Software as a Service (SaaS) costs. After an AI analysis revealed significant spending on subscriptions, he plans to replace many paid services with open-source alternatives installed on his own servers, leveraging AI for tasks like financial analysis and content assistance.
Tools Discussed
Successfully identified €33K in subscription waste
Score Breakdown
Context Signals
14 / 20Automated Verification
40 / 40AI Quality Analysis
26 / 40Prompts Tested
We run each prompt from this video against real LLMs and verify the output matches what the creator claimed.
AI prompt for website creation (HostGator): 'the project name, the niche, the objective' (and the AI generates structure, design, text, sections).
AI prompt for financial analysis: 'catalogue my expenses by type', 'see what money leaks I have', 'what costs it can help me reduce'.
Okay, here's a refined AI prompt based on your initial requests, designed to get the most insightful financial analysis: **Comprehensive AI Prompt for Financial Analysis:** "Analyze my financial data to provide a comprehensive overview of my spending habits and identify potential areas for improvement. Specifically: 1. **Categorize my expenses:** Group all transactions into meaningful categories (e.g., Housing, Transportation, Food & Dining, Entertainment, Utilities, Healthcare, Debt Payme
AI prompt for financial analysis: 'catalogue my expenses by type', 'see what money leaks I have', 'what costs it can help me reduce'.
Creating an AI-driven system to analyze your finances based on the prompts you've provided is a great way to gain insights into your spending habits and identify areas where you might be able to save. Here’s how you could structure such an analysis: ### 1. Cataloguing Expenses by Type **Objective:** To categorize all expenses into distinct types for better visibility. - **Data Collection:** Gather transaction data from bank statements, credit card bills, receipts, or any other financial recor