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.…