# Quickstart

Source: https://redcrown.ai/docs/quickstart/

Prove one task end to end: run a set of models on your data, rank the cheapest one that clears your quality bar, and share a proof. Pick a surface above, or compare all three.

## 1. Describe the task and give a few examples

A task is a plain-language instruction plus a few example inputs (and, if you have them, the correct outputs to score against).

**No labeled data?** Set `reference_source: "incumbent"` to score every challenger against your current model's own output. You prove which config is cheaper at equal-or-better quality without labeling a thing: the incumbent's output is the reference.

**UI**

Open [app.redcrown.ai](https://app.redcrown.ai), land on **Prove**, paste your task and a few example rows, then choose "Use my data".

**CLI**

```
redcrown build-dataset --from-csv examples.csv --task summarize \
  --input-col text --reference-col summary --out task.json
```

**MCP**

```
prove_task({
  "task": "Summarize each support ticket in one sentence.",
  "examples": [{"input": "...", "output": "..."}]
})
```

## 2. Run every candidate and rank them

RedCrown fans the task across the candidate models, scores each against your references, and ranks by the cheapest that clears the bar.

**UI**

The Prove screen runs the candidates and shows the ranked report with cost, quality, and receipts.

**CLI**

```
redcrown eval task.json --report-json out.json
```

**MCP**

`prove_task` runs the eval and returns the ranked winner and savings in one call. For a demo with no data, use `try_sample`.

## 3. Share a proof

Turn the ranked run into a no-login proof page anyone can open.

**UI**

Click **Share proof** on the report to mint a link.

**CLI**

```
redcrown push out.json --proof-link
```

**MCP**

`prove_task` returns a `proof_url` directly.

Last verified 2026-07-02. New here? Read [Concepts](../concepts/) next.