
How to evaluate agent systems across tools instead of inside one demo
The right evaluation target is the workflow across tools, not the most flattering single-agent moment.
By Agent Software
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The right evaluation target is the workflow across tools, not the most flattering single-agent moment.
By Agent Software

The limit is not that models are useless. The limit is that some engineering work still depends on judgment, trust, and changing context.
By Agent Software

The gap between agent demos and production workflows comes from context quality, task realism, and the absence of repeatable evaluation.
By Agent Software

An effective agent eval harness needs scenario design, clear pass criteria, and enough operational realism to catch regressions that demos hide.
By Agent Software

Agent systems feel unreliable because most teams still evaluate them with memory, screenshots, and intuition rather than repeatable tests.
By Agent Software