I'm a student learning AI integration and automation by building one real workflow every day for 60 days.

Day 8 of 60 — today I stopped doing abstract Python challenges and started solving problems I could see myself automating in the real world.

5 challenges. All automation-relevant. All humbling in different ways.

## The 5 Challenges I Tackled Today

### 1. Product Inventory

Building logic that tracks stock levels, flags low inventory, and updates records. Sounds simple until you're handling edge cases — what if a product doesn't exist? What if the quantity goes negative?

2. Processing a Sales Report

Taking raw sales data and transforming it into something meaningful — totals, averages, top performers. This one was a loop and data structure workout.

3. Lead Qualification System

This one hit close to home. Writing logic that scores and qualifies leads based on defined criteria — exactly the kind of thinking that powers the AI workflows I've been building since Day 1, but now in raw Python.

4.…