Tools only help when people can rely on them.
In operational work, the first question is not whether something is technically possible. It is whether the output will be clear, repeatable, and safe enough to trust on an ordinary day.
That principle shapes the T.RUST axis.
Why this matters for the lab
It is easy to build prototypes that look clever and fail under normal use. A better approach is slower:
- define the task clearly
- reduce ambiguity in the workflow
- document what success looks like
- only then add automation
This is especially important in healthcare-adjacent contexts, where confusion is expensive and fragile systems create new work instead of removing it.
The future lab should reflect this standard. Experiments are welcome, but trust comes first.