Resources
We're building out a small set of practical guides based on what we see across client projects. Here's what's coming first.
Coming soon
Choosing Between Annotators, Practitioners, and Experts
A practical guide to matching contributor type to task complexity, so you're not overpaying for simple work or underpaying for judgment calls.
Coming soon
How to Build a Professional Workflow Evaluation Set
What it takes to move from generic benchmarks to an evaluation set grounded in how your users actually work.
Coming soon
Why Fluent AI Outputs Still Fail Real-World Tasks
Fluency isn't correctness. A look at the gap between plausible-sounding responses and outputs that hold up under practitioner review.
Have a specific question in the meantime?
If you're scoping a data or evaluation project now and don't want to wait on the guides, just ask us directly.
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