BENCH Blog

All: 4 articles

Your Agent Finished. Did the Job Get Done?

Evaluate AI agents against customer outcomes. Define quality with domain experts, test complete setups, and improve through production feedback.

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DEFINE WHAT COUNTS AS DONE

TASK ACCEPTANCE

Right accountMet
Qualification supportedMet
Next step recordedMissing

One missing condition. Still unfinished.

The run finished. The task still has to pass its checks.

The Tool Call Worked. The Task Didn’t.

Evaluate tool calling against the customer’s intended outcome. Test identity, permissions, side effects and recovery, then learn from production.

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SAME NAME. DIFFERENT RECORDS.

Update Alex’s job title

Alex

Other company

Wrong account

Alex

Authorized account

Context matches

Check identity before changing state.

The arguments can be valid while the selected record is wrong.

The Cheapest Model Can Cost You More.

Optimize LLM cost per successful customer task. Include retries and correction work, test complete setups, and verify savings after deployment.

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WHAT GOES INTO THE TASK COST?

Model calls

Model invoice

Human review
Tools + execution
All model calls

Full task cost

Include failed attempts and retries.

The model invoice is one part of the cost. Conceptual illustration, not to scale.

We Made Software Probabilistic. Then Forgot How to Test It.

Probabilistic software needs a different quality discipline. Why defining good, testing the whole system, and closing the feedback loop matter more than a convincing demo.

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THE FAMILIAR MENTAL MODEL

Input
Code
Expected
output

THE GENERATIVE SYSTEM

Input
AI system
Output A
Output B
Output C
One good answer is a sample. Not a standard.