AI Task Testing Cycle

A practical system for evaluating AI progress by testing it against real business tasks every 3-6 months to determine automation readiness.

Core Evaluation Framework

• Tests AI against 10 specific business tasks currently done by humans
• Evaluates progress on a spectrum from 0/10 to 10/10 tasks automated
• Focuses on real business impact rather than abstract benchmarks
• Considers actual cost savings and human resource implications

Task Automation Assessment Levels

• Level 1: Cannot do the task at all
• Level 2: Can do it but not well enough for practical use
• Level 3: Can do with human oversight/assistance
• Level 4: Full automation - no human needed

Real Business Examples Tested

1. E-commerce Photography ($5-10k/month current cost)

   • Product photography
   • Model photography
   • Video content generation
   • Current status: Can do but quality issues (faces morphing, visual artifacts)

2. Inventory Forecasting

   • Currently requires 2 full-time employees
   • Handles multiple product variations
   • Uses historical and real-time sales data
   • Goal: Replace humans or augment with AI assistance

Success Metrics

• Real cost reduction
• Quality comparison to human work
• Practical implementation feasibility
• Actual business value delivered
• Reduction in human workforce needed

Philosophy

• Focuses on practical business applications over academic benchmarks
• Tests against actual business costs and needs
• Evaluates based on real-world implementation feasibility
• Regular retesting as AI capabilities evolve