Evaluation to Deployment Loop

The Orlo Platform loop is:

1. create a task
2. upload a dataset
3. run an evaluation
4. review the recommendation
5. create and activate a deployment
6. send inference traffic
7. collect feedback and improve

Task versioning

Tasks are mutable heads with immutable task versions behind them. Deployments and evaluations bind to task versions for reproducibility.

Evaluation posture

Evaluations are async and budget-bounded. The result surface is uncertainty-aware: if two models are statistically too close to call, Orlo says so.

Deployment posture

Deployments freeze the task version, model, and strategy into a reproducible snapshot. Activation switches the active deployment for a task.