studiotune-ai

StudioTune

Shape a model for the work you want it to do.

Built by Ainfera · beta release · evidence before claims

StudioTune helps people shape a model for the work they want it to do.

Describe a behavior. Try the change. Compare the result. Keep the proof.

It is built for software, agents, devices, research, operations, and other workflows where a general model may not be enough for the job.

Product	Purpose	Status
StudioTune Desktop	Visual workspace for shaping, comparing, and reviewing model behavior	Beta release
Tune Agent	Guided proposal layer that turns a model goal into a clear path	Beta release · proposal-only
StudioTune CLI	Local, scriptable interface for repeatable model workflows	Beta release

Desktop shows the work.
Tune Agent guides the path.
CLI makes it repeatable.

A general model is made for everyone. A fine-tuned model can be shaped for a purpose.

Fine-tuning can help with:

Not every problem needs fine-tuning. Sometimes prompting, search, tools, or a larger model is the better answer.

Describe the behavior
↓
Choose the model
↓
Add examples
↓
Try the change
↓
Compare the result
↓
Keep the proof

Tune Agent suggests. The Engine runs the work. The human decides.

A completed workflow is not automatically proof of model improvement. If evidence is incomplete, the result stays HOLD, REVISE, or REJECT.

StudioTune is in beta release.
The beta includes evidence-gated capabilities.
Real model improvement is not claimed without direct evidence.
Production readiness is not claimed.
Customer, revenue, benchmark, and superiority claims are not made here.
Public repositories may describe mechanics and product direction; they do not by themselves prove model quality or production readiness.

_{StudioTune · Built by Ainfera · Evidence before claims}