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Build an evaluation set your team will actually trust

Guides6 mins read

Introduction

An evaluation set is the contract between your model and your business. If the team doesn't trust it, every result becomes a debate.

Collect real cases

Sample from production traffic, support tickets or past decisions. Include the hard cases people argue about; they're where models fail.

Grade consistently

Rubrics before results

Write the rubric first, have two reviewers grade a sample independently, and resolve disagreements before you score any model.

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Build frontier models and agents that learn from experience.

Model training

Introduction

General-purpose models are remarkable, but they don't know your contracts, your claims rules or the shorthand your engineers use. The gap between a demo and a dependable system is almost always domain knowledge. Learning from experience closes that gap. Instead of prompting harder, you let a model practise on your tasks, score the results against what good looks like, and keep the improvements.

6 mins readContinue Reading

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