Scientific modeling is not about building permanent solutions. It's about creating meaningful approximations that evolve.

Software in research should behave the same way:
- Be disposable if it yields insight
- Prioritize experimentation over polish
- Accept that the path to truth is iterative and messy

The real product of a research sprint isn't an app — it's understanding. That insight should outlive the code, and guide future cycles of thinking and building.