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Resource Center

From the data floor.

Guides, research notes, and case studies from the team running the pipelines.

GUIDE

Designing a labeling schema that survives scale

Why schemas that work at 1,000 items often break at 100,000 — and how to design around it from day one.

RESEARCH

What RLHF rubrics get wrong about tone

A look at how evaluator disagreement on "helpfulness" quietly shapes model personality.

COMPANY

TrainAgentAI opens new evaluator hub in Manila

Our newest regional hub brings native-language RLHF evaluation to four additional languages.

CASE STUDY

Cutting manipulation failure rate by 38%

How a robotics lab used trajectory labeling to retrain a grasping policy at scale.

GUIDE

QA sampling rates: how much review is enough?

The statistics behind choosing a sampling rate that catches drift without doubling your cost.

RESEARCH

Edge cases are rare. That's why they're expensive.

Sourcing strategies for the long tail of driving, vision, and conversational scenarios.

NEWSLETTER

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