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.

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:

• a specific tone;
• a reliable format;
• a repeated task;
• domain behavior;
• an agent workflow;
• a device target.

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.

• desktop-app — StudioTune Desktop
• tune-agent — Tune Agent proposal boundary
• cli — StudioTune CLI
• studiotune-os — private operating-system foundation

• Website: studiotune.ai
• Company: ainfera.ai
• Investor information: ainfera.ai/deck

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