Learn
In-depth guides, core concepts, and best practices for getting the most out of Nyckel. The Get Started tab gets you to a working function; this tab takes you a level deeper into the ideas behind the platform and the practices that make a function actually good over time.
Core Concepts
The handful of ideas the rest of the product is built on.
Functions
The core unit: model + samples + review + pipeline.
Models
What's inside a function and how Nyckel selects and updates them.
Labels
The decision space of a classification function.
Samples
The labeled examples that train private models.
Confidence Scores
What the score means and how to read it.
Best Practices
How to design labels, run a review workflow, and tune confidence thresholds — the practical decisions that determine how good your function gets.
Get Reliable Predictions
Designing labels and data for trustworthy predictions from day one.
Review and Improve Predictions
Build a sustainable review workflow that compounds over time.
Improve Accuracy Over Time
Feedback, annotations, and targeted samples.
Tuning Confidence Thresholds
Picking the cutoffs your application acts on.