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

# Common workflows

> Start with a proven Deepline workflow for enrichment, account research, signal response, human-reviewed outbound, or ads audiences.

[Human guide: work with your agent →](https://deepline.com/docs/human/templates.md)

> [!NOTE]
>
> Choose one guide from the input you have and the result you need.

Start with the outcome you need. Each workflow links to the maintained guide
or Play that explains its input, review boundary, and next step.

> **[Choose a workflow](https://deepline.com/docs/plays/decision-tree.md)**
>
> Match the data you have to the result you need before you run anything.

> **[Find verified work emails](https://deepline.com/docs/plays/email-waterfall.md)**
>
> Use an email waterfall when you need a verified work email from a person and
> company record.

> **[Research accounts before outreach](https://deepline.com/docs/recipes/research-workflow.md)**
>
> Build a reviewable account-research Play with source evidence and a clear
> next action.

> **[Automate warm outbound with approval](https://deepline.com/docs/recipes/warm-outbound-web-intent.md)**
>
> Turn a Warmly visitor event into a draft for human review before activation.

> **[Respond to account signals](https://deepline.com/docs/plays/signal-playbooks.md)**
>
> Use a Monitor when Deepline supports the incoming event, then a Play for the
> qualification and decision.

> **[Build an ads audience](https://deepline.com/docs/ads-audiences.md)**
>
> Turn a consented first-party list into a reviewed Google Ads, Meta, or
> LinkedIn audience.

> [!NOTE]
>
> Need a custom result? Start with [Plays](https://deepline.com/docs/plays/plays-overview.md). Need to find
> or inspect a maintained prebuilt Play? Use [Example prebuilt
> Plays](https://deepline.com/docs/plays/tasks-overview.md).

## Verify this task

Open the selected guide. Identify its required input, the action that starts execution, and the result you will inspect.

Ask your agent to explain a failed check before repeating work or expanding the scope.


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