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

# Capabilities

An index of everything Dapti can help you with, grouped by area: build and improve agents, analyze performance, automate and schedule, manage your business, and research.

Dapti's capabilities span the entire Dapta platform. Pick the area you want to explore. Each page below walks through example prompts and what to expect in Dapti's response.

{% hint style="info" %}
If you are not sure which area your question falls under, just ask Dapti in plain language. Dapti will figure out which capability to use.
{% endhint %}

***

## Build and Improve Agents

Use Dapti to create, configure, calibrate, and refine your AI agents.

{% content-ref url="/pages/O5M0qkWH3Xt43SlXnHnk" %}
[Voice Agents](/dapti/capabilities/voice-agents.md)
{% endcontent-ref %}

{% content-ref url="/pages/MzogOBuvpNDcwcSMQe39" %}
[Text Agents](/dapti/capabilities/text-agents.md)
{% endcontent-ref %}

***

## Analyze Performance

Ask Dapti to pull stats, surface trends, compare against benchmarks, and prioritize what to fix.

{% content-ref url="/pages/ITt1P6qAQhK8f6FgbVFk" %}
[Call Analytics](/dapti/capabilities/call-analytics.md)
{% endcontent-ref %}

{% content-ref url="/pages/9VV2mFTv81FnCZ0y12C3" %}
[Account Evaluation](/dapti/capabilities/account-evaluation.md)
{% endcontent-ref %}

{% content-ref url="/pages/8wVES3iaqOWdKUGLxUjn" %}
[Industry Benchmarks](/dapti/capabilities/industry-benchmarks.md)
{% endcontent-ref %}

***

## Automate and Schedule

Build automations and put recurring work on autopilot.

{% content-ref url="/pages/YqBTi7hYBrv2edraanBJ" %}
[Flow Studio](/dapti/capabilities/flow-studio.md)
{% endcontent-ref %}

{% content-ref url="/pages/Dgtsw9D6WGPWhpK6Eoyq" %}
[Scheduled Tasks](/dapti/capabilities/scheduled-tasks.md)
{% endcontent-ref %}

***

## Manage Your Business

Track sales conversations, billing, and account operations in one place.

{% content-ref url="/pages/AAvv9wLuzQ2ZGvTY9w6W" %}
[Sales Meetings](/dapti/capabilities/sales-meetings.md)
{% endcontent-ref %}

{% content-ref url="/pages/SVbyMomeBBz3EjauEFly" %}
[Billing & Credits](/dapti/capabilities/billing-and-credits.md)
{% endcontent-ref %}

{% content-ref url="/pages/UjlkeeYDNhNUVMDiFvdf" %}
[Commercial Support](/dapti/capabilities/commercial-support.md)
{% endcontent-ref %}

***

## Research

Dapti can search the web, read external pages, and generate downloadable research documents.

{% content-ref url="/pages/t9cOTETVuHh9eobmhtII" %}
[Web Research](/dapti/capabilities/web-research.md)
{% endcontent-ref %}

***

## Don't See What You're Looking For?

Browse the use-case cookbook for practical example prompts grouped by intent.

{% content-ref url="/pages/z2MqYMcg82nfTMVD8SSU" %}
[Use Cases](/dapti/use-cases.md)
{% endcontent-ref %}


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.dapta.ai/dapti/capabilities.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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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.