Building the tools that shape model behavior.
Evidence before claims · StudioTune beta release
Ainfera is building StudioTune: a product that helps people shape a model for the work they want it to do.
The idea is simple:
Describe the behavior.
Try the change.
Compare the result.
Keep the proof.
StudioTune is designed for software, agents, devices, research, operations, and other workflows where a general model may not be enough for the job.
StudioTune is the primary product.
Shape a model for the work you want it to do.
Three connected surfaces:
| Product | Role | Status |
|---|---|---|
| StudioTune Desktop | Visual workspace for shaping, comparing, and reviewing model behavior | Beta release |
| Tune Agent | Guided proposal layer for turning a goal into a clear path | Beta release · proposal-only |
| StudioTune CLI | Local, scriptable interface for repeatable model workflows | Beta release |
Visit: studiotune.ai
A general model is made for everyone. A fine-tuned model can be shaped for a purpose.
Open-weight models give builders more control over the intelligence they use. Fine-tuning can help make behavior more consistent for a product, agent, device, or workflow.
Not every problem needs fine-tuning. StudioTune is built to make the decision and the workflow easier to understand.
Tune Agent suggests. The Engine runs the work. The human decides.
A passing test is not proof of model improvement. A completed run is not automatically a better model. Evidence remains explicit, reviewable, and bounded.
StudioTune is in beta release with evidence-gated capabilities.
The public repositories and website describe product direction and verified mechanics. They do not claim:
- production readiness;
- universal model or device support;
- customer traction or revenue;
- validated model improvement;
- benchmark superiority;
- public release of every capability.
Ainfera · StudioTune · Evidence before claims