Task and audience
Identify who needs the application, which question it supports, and what information the person needs to inspect.
RAIN / Software
Shape an application around a real task.
A proposed workspace for bringing an operational question, approved information, model behavior, and reviewer workflow into one application design.
Product direction
INTELLIGENCE BELONGS WHERE THE DATA LIVES.
01 / THE IDEA
Connect the parts a useful application needs.
RAIN Studio is the broader application-building direction in the RAIN software lineup. While Model Studio focuses on model evaluation and Index Studio on information retrieval, RAIN Studio would bring those choices together around a concrete user task. No production builder is available here.
Information and behavior
Describe the permitted sources, intended model behavior, and boundaries around any proposed application tools.
Review and evaluation
Define examples of useful output, failure cases, and the point where a person checks or acts on the result.
02 / IN PRACTICE
How the pieces come together.
Define the scope, preserve the boundary, and make the outcome something a person can inspect.
- 01
Sketch the task
Describe a single workflow from incoming information to the decision or review it should support.
- 02
Assemble an evaluation
Select representative inputs and identify the sources, model behavior, and interface needed to examine them.
- 03
Test with the intended user
Compare outputs with actual review needs before expanding the scope or considering production use.
03 / A FEW DETAILS
Worth understanding.
Is RAIN Studio a no-code application builder?
No released no-code builder or supported feature set has been announced. This page sets out the proposed application-workspace direction.
How is it different from Model Studio?
Model Studio concerns model comparisons and their evidence. RAIN Studio concerns the larger user task, including information sources and the review workflow around a model.
BUILD WITH RAIN
One site. One question.
A useful next step.
RAIN is preparing for its first field pilot. Start by defining the environment, the data boundary, and what success should look like.