These approaches make the conditions for agent work more testable and recoverable, rather than relying on prompts alone.
From the Field Notes:
Agent reliability is being built through explicit environments and repeatable checks
In one minute
Arcee’s scientific tool-use training connects tasks, tools, rewards, and held-out evaluation in controlled runs, while Cursor Builds gives cloud agents reproducible environments and a rollback path.