Automation is easy until it has to stop at exactly the right time.
Core challenge
The bot had to identify encounters from noisy screen text and halt immediately for rare targets (shiny/legendary). That moved this from scripting to reliability engineering.
Architecture highlights
- Python-based control flow with modular bot strategies
- OCR-assisted detection and calibrated visual regions
- GUI-first controls for non-technical usage
- Movement replay and configurable hotkeys
Design rule that mattered most
Safety controls are product features, not optional extras. Auto-stop behavior was more important than raw farming throughput.