> For the complete documentation index, see [llms.txt](https://docs.taloflow.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.taloflow.ai/getting-started.md).

# Getting Started

## Setup

### Signing up

You can [Sign up](https://use.taloflow.ai/signup) for a Taloflow account using email, or your Google, Microsoft or GitHub account.

### Dashboard

Once in the dashboard, you'll be able to start creating the evaluations mentioned above by clicking the "Create evaluation" button.

### Creating an Evaluation

Once you've clicked "Create new evaluation" from the Dashboard, you'll be asked:

1. to select the Category you want to run an evaluation for; and
2. to combination of use cases you want to use

{% hint style="info" %}
Use cases are fully adjustable, so choose any number that may be relevant from the available list.
{% endhint %}

After a few seconds, you'll have an evaluation ready-made for you to work with.

### Using the Evaluation

The evaluation comes in the form of a collaborative text editor with lots of smart blocks that you can add, toggle, and configure to suit your reporting needs or provide new insights into your decision.

You can go to the Tables view, which allows you to prioritize your requirements, features and weight dimensions manually to your liking, and add or remove products.

{% hint style="info" %}
You can switch back and forth between the Report and Tables view at your leisure.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.taloflow.ai/getting-started.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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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.
