Make it specific.
Build toward a defined task. Use your examples and decisions to help a model learn the patterns that matter to you.
HUMAN FEEDBACK. LASTING LEARNING.
Teach a model.
Keep what
it learns.
tåg labs is building tools that turn examples and human feedback into specialized models—organized into separate projects you can evaluate, preserve, and revisit.
See how it worksYour judgment is part of the process.
StudioILLUSTRATIVE PREVIEW A little direction goes a long way.
Observe. Choose. Refine.
WHAT WE DO
A model for a purpose.
A place for its progress.
Good training starts with clear examples and useful feedback. Keep that work organized, and keep what you build.
Give it a home.
Separate projects keep each model’s data, feedback, and training history together, so you can return with context.
Keep the result.
Evaluate a model before using it. Save your work or export it, then carry on with your next project.
HOW IT WORKS
Small decisions.
Something you can build on.
A repeatable workflow, with you in the loop.
- 01
Create a project
Give the work a name and a clear purpose.
- 02
Provide examples
Add data and give feedback on what fits—and what doesn’t.
- 03
Train and evaluate
Review the model’s results. Confirm useful predictions and correct the misses.
- 04
Save or export
Retain the model and its context. Revisit it, refine it, or start something new.
WHERE WE ARE TODAY
Visual preferences.
First of many possibilities.
The first working module learns visual preferences from your feedback on images and animated previews. Swipe, review predictions, and help the model understand what catches your eye.
Planned: additional data types and specialized model workflows. These are future directions, not available modules.
YOUR WORK, IN STUDIO
A private place
to keep learning.
Studio is the protected workspace for training and managing models. Access is currently limited to the owner and explicitly invited users. Public registration is not available.
Sign in to StudioA clear boundary.
This public page explains the product. It does not connect to Studio, retrieve training data, or display private models. The preview is a static illustration.
There are no analytics scripts or tracking cookies on this page. Hosting services may process standard request logs to deliver and secure it. Studio and its sign-in provider handle private-workspace access separately.