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

# AI enhancement

> Enrich your extracted data with AI-generated content, translations, and web research.

Enhancement lets you use AI to fill in, improve, or transform column values after extraction. This is useful for generating descriptions, translating content, or enriching data with web-sourced information.

## How enhancement works

1. **Select rows and a column** -- Choose which rows to enhance and which column to fill.
2. **Write a prompt** -- Describe what the AI should generate, using context from other columns.
3. **AI processes each row** -- The model reads the row's existing data and generates a value.
4. **Results are written back** -- Enhanced values replace or fill the target column.

## Enhancement types

### Content generation

Generate new content based on existing data:

```
"Write a compelling product description based on the product name and specifications."
```

### Translation

Translate content to another language, optionally using your glossary:

```
"Translate the description to German."
```

Set `target_language` and `use_glossary: true` to apply your glossary terms during translation.

### Web research

Enable `web_search: true` to let the AI search the web for additional information:

```
"Find the current retail price for this product from major retailers."
```

## Single column vs bulk

* **Single column** -- Enhance one column across multiple rows. Use [`POST /v1/tables/{id}/enhance`](/api-reference/enhance/run).
* **Bulk** -- Enhance multiple columns of a single row at once. Use [`POST /v1/tables/{id}/enhance/bulk`](/api-reference/enhance/bulk).

## Tracking progress

Enhancement runs asynchronously. Check progress with:

<CodeGroup>
  ```typescript TypeScript theme={null}
  const status = await client.enhance.status("tbl_abc123");

  for (const [column, stats] of Object.entries(status.columns)) {
    console.log(`${column}: ${stats.completed}/${stats.total} done`);
  }
  ```

  ```python Python theme={null}
  status = client.enhance.status("tbl_abc123")

  for column, stats in status["columns"].items():
      print(f"{column}: {stats['completed']}/{stats['total']} done")
  ```
</CodeGroup>

## Credits

Each enhancement consumes credits. The estimated cost is returned when you start an enhancement job. Check your balance at any time via the [Credits API](/api-reference/credits/balance).

## Traces

Every AI-generated value has a trace showing the prompt, model used, confidence score, and sources. See [Row traces](/api-reference/rows/traces) for details.