Quality
Rubric scoring and optional model judging turn outputs into a reviewable verdict.
Model intelligence
Switch models with evidence, not instinct.
Test challenger models against sampled real traffic while your primary response stays on the live path. Compare quality, cost, and latency before you decide to move.
Your work is the benchmark
See alternatives in your context.
Generic leaderboards cannot tell you how a model performs on your requests. Shadow evaluation samples routed tasks, runs configured challengers asynchronously, and records comparable evidence.
01
Capture without blocking
The primary answer returns normally; evaluation work runs off the live response path.
02
Compare the same task
Configured challengers receive the same canonical task for a meaningful comparison.
03
Review the trade-off
Each comparison brings quality verdicts together with latency and model cost.
A decision record
Make model choices explainable.
Evaluation results become scorecards your team can inspect over time. A cheaper model is only useful when its observed quality is acceptable for the work that matters.
Economics
Token usage and priced model cost make the savings side of a switch visible.
Latency
Response timing shows whether an alternative fits the experience you need.
Trajectory
The evaluation model is designed to capture steps, tool calls, and final answers.
The evidence loop
Observe. Compare. Decide.
Keep production behavior stable while evidence accumulates in the background.
Enable sampling
Choose when routed traffic should be captured for shadow comparison.
Run challengers
Ecoino evaluates configured model alternatives asynchronously on the same task.
Read the scorecard
Use quality, cost, and latency together to guide routing decisions.