Facet or fine-tuning it yourself

Fine-tuning means training an existing model further on examples of your task. Facet does that work for you, along with the examples, the checks, the hosting and every update after; doing it yourself still wins for images, audio, video or custom training methods.

Side by side

Fine-tuning it yourself Facet
What you bring Training examples, often thousands, written or labeled by you A description and a few real inputs
Checking quality Build your own test set and scoring Facet drafts the rules and examples, then checks every version
Compute Rent GPUs or a hosted service, and pick the settings Nothing to manage; each build is quoted up front
Hosting Deploy and scale it yourself Callable with the OpenAI SDK as soon as it’s built
Improving it Gather more data, train again, compare by hand Say what’s wrong; Facet quotes, builds and checks the fix
First result Setup, data and a training run come first Usually about half an hour after you describe the job
Control Every setting is yours Export the model any time, free, and run it yourself

When fine-tuning it yourself is the better choice

Try Facet with your agent

Connect Claude, Cursor, ChatGPT, Codex or VS Code to Facet, then paste:

Use Facet to build a specialist for this job: ... Here are a few real inputs: ... Show me
the draft and the price before you approve anything.

Questions

Is Facet just fine-tuning?

Fine-tuning is one tool Facet uses. Facet also writes the examples, checks every version against your rules and hosts the result, and when you ask for a change it first tries improving the instructions, which costs cents, before it trains again.

Which models does Facet start from?

Facet starts from open-weight Qwen3.5 models in two sizes and picks the one that fits your task. You can change the pick before it builds.

Can I take my model somewhere else?

Yes. Export it any time, free. You get a LoRA adapter for its Qwen3.5 base model, a standard open format that tools such as vLLM run, along with its instructions.

Build your first specialist today.