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Data standards, whitepapers and engineering notes. We write down what actually went wrong, not marketing copy.

Whitepaper2026-09-22

Embodied AI training data whitepaper (2026)

Collection embodiments, time synchronization, ground-truth precision and delivery formats — the engineering standards and common pitfalls for manipulation datasets.

~12 min read · includes a spec comparison table

Data standards2026-09-15

Writing an executable labeling standard

Standard drift is the biggest killer of labeling quality. A reusable template plus the agreement metrics that make it enforceable.

~9 min read · includes a template checklist

Engineering2026-09-08

LeRobot vs HDF5 vs RLDS

Where each robot data format fits, conversion costs and training-framework compatibility, with migration guidance.

~7 min read · includes a format comparison

Compliance2026-09-01

Training data compliance checklist: 9 things to confirm before buying

Legal provenance, personal data handling, license scope, cross-border eligibility and re-licensing limits.

~8 min read · includes a checklist

Whitepaper2026-08-25

Building a content safety evaluation set

How to write reproducible criteria when violation boundaries are ambiguous, and where to set agreement thresholds.

~10 min read · includes threshold guidance

Engineering2026-08-18

Choosing honeypot sampling rates

Adjusting sampling rates dynamically by annotator credit and batch history — and the common ways teams misuse them.

~6 min read · includes worked examples

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