Evaluation design, failure diagnosis and continuous monitoring by people who do the job your agent is replacing. Human review beyond LLM-as-judge.
Judge turns agent reliability into a measured, repeatable process.
Success criteria, rubrics and scoring defined with domain experts against your real workflow.
Experts review agent outputs and tag where, why and how the agent fails, by failure mode.
We produce fix-data for the highest-priority failure modes, in the format your training team uses.
Re-score as models, prompts, tools and rules change; a dashboard tracks drift over time.
Shorter iteration cycles because failures are named and counted, not anecdotal.
Every score comes with an expert's explanation you can hand to the team fixing it.
Monitoring catches regressions when a model or prompt changes.
Three questions. We reply within one business day with a sample set and a quote.