> ## Documentation Index
> Fetch the complete documentation index at: https://promptify.one/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Dashboard

> Monitor your fine‑tuning pipeline, jobs, and assistant health.

The **Dashboard** is the control center for your Promptify workspace. It shows:

* **Pipeline status** – current fine‑tune job and progress
* **Assistant state** – whether an assistant is configured and which model it’s using
* **Model details** – base vs fine‑tuned model currently powering the app and API

## Fine‑tuning job card

The main card on the Dashboard represents your current fine‑tuning job.

* **States**: `GENERATING_DATA`, `UPLOADING`, `QUEUED`, `RUNNING`, `SUCCEEDED`, `FAILED`
* **Progress bar**: percent completion of the current job
* **Logs**: streaming log lines from dataset generation and the OpenAI fine‑tuning API

When no job is running you’ll see **“No Active Jobs”** with guidance to either:

* Complete **Onboarding** to set up an assistant, or
* Start a new fine‑tuning job once an assistant exists.

## Starting a job

From the **Fine‑Tuning Job** section:

1. Confirm you’ve created an assistant via **Onboarding**.
2. Click **Start Training**.
3. Promptify will:
   * Generate a JSONL dataset from your assistant spec
   * Upload it to OpenAI
   * Kick off a fine‑tune job
   * Poll the job via `/api/fine-tune/status`

Once a job completes, the **Model** stat card updates to show whether a **custom fine‑tuned** model is active. The Chat API will automatically start using this new model.