# How to set up Bulk Runner?

In this example scenario, we are setting up a simple bulk run to check regression for an AI Agent in production.

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Check out the example run here: BULK RUNNER (Regression Only)</strong></td><td><a href="https://gooey.ai/bulk/farmerchat-bulk-evaluator-regression-only-ggzy9gld1eae/">https://gooey.ai/bulk/farmerchat-bulk-evaluator-regression-only-ggzy9gld1eae/</a></td></tr><tr><td><strong>Check out the example run here: BULK RUNNER (Bulk and Evaluation)</strong></td><td><a href="https://gooey.ai/bulk/farmerchat-bulk-evaluator-gpt-4o-mixtral-claude-vs-gemini-pro-15-b0o8aos3rj8y/">https://gooey.ai/bulk/farmerchat-bulk-evaluator-gpt-4o-mixtral-claude-vs-gemini-pro-15-b0o8aos3rj8y/</a></td></tr></tbody></table>

{% @arcade/embed flowId="847Wp0A2AlNJenR6EhK4" url="<https://app.arcade.software/share/847Wp0A2AlNJenR6EhK4>" %}

### Step 1: Select Gooey Workflows <a href="#jmvc9vjmbif9" id="jmvc9vjmbif9"></a>

Choose the “SAVED” run from Gooey.AI Workflows that you would like to use.

<img src="/files/YtrITrXRSkA0Kmq7pyTX" alt="" width="563">

### Step 2: Input Data Spreadsheet <a href="#s6plmddmwaiq" id="s6plmddmwaiq"></a>

Prepare your test question set:

1. Create a list of the most frequently asked questions for your AI Agent (we recommend between 25 for optimum observability and regression you can do more if you prefer)
2. Make sure the Excel sheet/Google Sheets table has a “header” section
3. Add all your questions in the column below it

<figure><img src="/files/rldiLwFWeM8Eks8kk3dr" alt="" width="369"><figcaption></figcaption></figure>

1. Paste the link of your Google sheet or upload your data

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<figure><img src="/files/jclXUOBTqQw64uBVkJxc" alt="" width="563"><figcaption></figcaption></figure>

The output will look like this:

<figure><img src="/files/1yv4kAL48m0DKmhwvJl7" alt=""><figcaption></figcaption></figure>

### Step 3: Select your input columns <a href="#yayrw51txj9z" id="yayrw51txj9z"></a>

In the current scenario, we want to use the Gooey Agent to answer all the questions in the google sheet. So essentially they are the “input” for the Bulk Workflow.

Select the “questions” column in the “input\_prompt” system variable.

### Step 4: Hit Submit <a href="#pqej8inj371s" id="pqej8inj371s"></a>

As this is a “Bulk only” scenario, you can “delete” the Agent Evaluator option in the section. After that hit the “Submit” button.

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<figure><img src="/files/TTdT2yYwAqibsFcwLHmN" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/jbXzzAXueQIFPVTRk6Nu" alt="" width="563"><figcaption></figcaption></figure>

### Output <a href="#id-6n9vkbjh3n11" id="id-6n9vkbjh3n11"></a>

The workflow will create a new CSV, with an added few columns based on the run, including, “Output Text”, “Run URL”, and “Run Time”.

**Your output will be on the right side of the page.**

<figure><img src="/files/Hy4TdDUbdLx8R2XpwonV" alt="" width="563"><figcaption></figcaption></figure>

#### Additional Note <a href="#kfu0hmigziyi" id="kfu0hmigziyi"></a>

If you want more details in the Output section, use the drop down in the “Output Columns". This is useful if you want to keep track of Price, Latency, Error Messages, and other details.

<figure><img src="/files/MQHimnPwmEh5rxi44x4Y" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.gooey.ai/tools/evaluations/how-to-set-up-bulk-runner.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
