Speedrunning

Before I call a speedrunning workflow healthy, I want to see clear category rules, a stable split file, and notes that explain why route changes were adopted. If the process cannot explain itself, improvement turns into superstition fast.

The metrics that matter are segment consistency, reset cost, and whether a route is saving time on average instead of only in your best imagined run. Those are the measures that make a run more resilient under real pressure. Before I call a speedrunning workflow healthy, I want to see clear category rules, a stable split file, and notes that explain why route changes were adopted. If the process cannot explain itself, improvement turns into superstition fast.

The clearest signals usually live in clarity of route and split documentation, consistency of the practice workflow, and how well saved notes support future route changes. A good archive helps future-you compare decisions over time instead of restarting each month from a vague sense that things are improving.

Keep these nearby while you evaluate:
- LiveSplit source: github.com/LiveSplit/LiveSplit
Helpful if a reader wants to understand the timer deeply or customize the tooling around it.
- LiveSplit auto-splitter guide reference: livesplit.org/faq/
The FAQ points readers toward the auto-splitter documentation and surrounding tool ecosystem.
- Games Done Quick video archive: youtube.com/@GamesDoneQuick/videos
Useful for studying commentary, execution pressure, and how strong runs are explained live.