Premise
Now
Hue is building the measurement layer that lets enterprises hand work to agents with evidence instead of hope.
Hue is building the measurement layer that lets enterprises hand work to agents with evidence instead of hope.
Hue is building the measurement layer that lets enterprises hand work to agents with evidence instead of hope.
Hue is building the measurement layer that lets enterprises hand work to agents with evidence instead of hope.
Hue
Hue
Premise
Now
Hue is building the measurement layer that lets enterprises hand work to agents with evidence instead of hope.
Hue is building the measurement layer that lets enterprises hand work to agents with evidence instead of hope.
Hue
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4×
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Core dimensions
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1×
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Ground-truth environment
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90 days
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Initial mapping window
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0×
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Generic benchmarks required
Measurement has to be built per enterprise to be most valuable—and built from the enterprise’s own decisions, outcomes, context, and employee judgment.
Measurement has to be built per enterprise to be most valuable—and built from the enterprise’s own decisions, outcomes, context, and employee judgment.
Measurement has to be built per enterprise to be most valuable—and built from the enterprise’s own decisions, outcomes, context, and employee judgment.
Measurement has to be built per enterprise to be most valuable—and built from the enterprise’s own decisions, outcomes, context, and employee judgment.
Measurement has to be built per enterprise to be most valuable—and built from the enterprise’s own decisions, outcomes, context, and employee judgment.
Measurement has to be built per enterprise to be most valuable—and built from the enterprise’s own decisions, outcomes, context, and employee judgment.
01
Map the work
04
Evaluate agents
02
Capture judgment
05
Compare outcomes
03
Build ground truth
06
Improve continuously
02
02
02
Approach
Approach
Approach
How Hue Works
How Hue Works
How Hue Works
We ingest only what is necessary to map decisions, context, judgment, edge cases, and outcomes—then work with employees to fill the gaps.
06
FAQ
Quick Answers
Answers to the questions agent builders ask before they trust a rerun.
01
What does Hue actually preserve from a run?
01
Everything the agent saw and everything it touched: the prompts and context in order, every tool call and its exact response, and the outcome. Enough to rerun the scenario with a different agent and get a fair comparison.
Everything the agent saw and everything it touched: the prompts and context in order, every tool call and its exact response, and the outcome. Enough to rerun the scenario with a different agent and get a fair comparison.
02
My tooling already runs evals on production data. What's different?
02
Those tools re-score a run: they grade what already happened. Hue re-executes it. The agent runs again inside the same conditions, so you learn how a new model or prompt would have behaved, not how the old run would grade.
Those tools re-score a run: they grade what already happened. Hue re-executes it. The agent runs again inside the same conditions, so you learn how a new model or prompt would have behaved, not how the old run would grade.
03
Does an agent need to be deployed first?
03
Yes. Hue works from real runs, so it needs production or staging traffic.
Yes. Hue works from real runs, so it needs production or staging traffic.
04
How are third-party tools simulated?
04
Every tool call in the original run is served back with the same response and behavior, so reruns never hit a live service and never drift from the original scenario.
Every tool call in the original run is served back with the same response and behavior, so reruns never hit a live service and never drift from the original scenario.
05
What can I compare?
05
Any version of your harness — prompts, tools, orchestration — and any model, against the same preserved run. Accuracy, cost, latency, side by side.
Any version of your harness — prompts, tools, orchestration — and any model, against the same preserved run. Accuracy, cost, latency, side by side.
06
FAQ
Quick Answers
Answers to the questions agent builders ask before they trust a rerun.
01
What does Hue actually preserve from a run?
01
Everything the agent saw and everything it touched: the prompts and context in order, every tool call and its exact response, and the outcome. Enough to rerun the scenario with a different agent and get a fair comparison.
Everything the agent saw and everything it touched: the prompts and context in order, every tool call and its exact response, and the outcome. Enough to rerun the scenario with a different agent and get a fair comparison.
02
My tooling already runs evals on production data. What's different?
02
Those tools re-score a run: they grade what already happened. Hue re-executes it. The agent runs again inside the same conditions, so you learn how a new model or prompt would have behaved, not how the old run would grade.
Those tools re-score a run: they grade what already happened. Hue re-executes it. The agent runs again inside the same conditions, so you learn how a new model or prompt would have behaved, not how the old run would grade.
03
Does an agent need to be deployed first?
03
Yes. Hue works from real runs, so it needs production or staging traffic.
Yes. Hue works from real runs, so it needs production or staging traffic.
04
How are third-party tools simulated?
04
Every tool call in the original run is served back with the same response and behavior, so reruns never hit a live service and never drift from the original scenario.
Every tool call in the original run is served back with the same response and behavior, so reruns never hit a live service and never drift from the original scenario.
05
What can I compare?
05
Any version of your harness — prompts, tools, orchestration — and any model, against the same preserved run. Accuracy, cost, latency, side by side.
Any version of your harness — prompts, tools, orchestration — and any model, against the same preserved run. Accuracy, cost, latency, side by side.
06
FAQ
Quick Answers
Answers to the questions agent builders ask before they trust a rerun.
01
What does Hue actually preserve from a run?
01
Everything the agent saw and everything it touched: the prompts and context in order, every tool call and its exact response, and the outcome. Enough to rerun the scenario with a different agent and get a fair comparison.
Everything the agent saw and everything it touched: the prompts and context in order, every tool call and its exact response, and the outcome. Enough to rerun the scenario with a different agent and get a fair comparison.
02
My tooling already runs evals on production data. What's different?
02
Those tools re-score a run: they grade what already happened. Hue re-executes it. The agent runs again inside the same conditions, so you learn how a new model or prompt would have behaved, not how the old run would grade.
Those tools re-score a run: they grade what already happened. Hue re-executes it. The agent runs again inside the same conditions, so you learn how a new model or prompt would have behaved, not how the old run would grade.
03
Does an agent need to be deployed first?
03
Yes. Hue works from real runs, so it needs production or staging traffic.
Yes. Hue works from real runs, so it needs production or staging traffic.
04
How are third-party tools simulated?
04
Every tool call in the original run is served back with the same response and behavior, so reruns never hit a live service and never drift from the original scenario.
Every tool call in the original run is served back with the same response and behavior, so reruns never hit a live service and never drift from the original scenario.
05
What can I compare?
05
Any version of your harness — prompts, tools, orchestration — and any model, against the same preserved run. Accuracy, cost, latency, side by side.
Any version of your harness — prompts, tools, orchestration — and any model, against the same preserved run. Accuracy, cost, latency, side by side.