You can grade an agent’s answer. Can you see the trajectory that produced it?
Most teams evaluate final outputs. Far fewer can see the reasoning, tool calls, failure recovery, cost, and safety boundaries underneath, which is exactly where production incidents come from. This scores your evaluation rigor across five dimensions, then names the one you’re flying blindest on.
Pick the answer closest to your reality.
One last thing: which of these do you actually have in place today?
Select all that apply. This is what separates a team with opinions about eval from one with an eval system: it sets the ceiling on your rigor level.
What you can see, and what you can’t
Evaluation coverage by dimension. The lowest bar is where production failures hide.
Go deeper: assessments matched to your result
Eval rigor is one pillar of overall agent maturity. These pick up where your weakest dimensions leave off.
See the eval and observability layer, built in.
Lyzr gives you this natively: full trajectory traces, deterministic plus LLM-judge scoring, and continuous evals across every agent you run in production. See how it closes the blind spot you scored lowest on.
