> For the complete documentation index, see [llms.txt](https://help.contouron.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.contouron.com/tips-and-tricks/twitter-threads.md).

# Twitter threads

> For the complete documentation index, see [llms.txt](https://docs.contouron.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.contouron.com/tips-and-tricks/twitter-threads.md).

## Twitter threads

> **Where:** The thread builder lives in the **Remix** screen (<https://my.contouron.com/remix>). The newer **Agent** screen (<https://my.contouron.com/agent>) does **not** support thread creation yet - if you're in the Agent "Add Post" area and don't see **+ Add to Thread**, switch to Remix.

To create a thread in the web app:

* Open **Remix** (<https://my.contouron.com/remix>)
* Click **+ Add Post** and select your platform (**X**, **Threads**, or **Bluesky**)
* Start typing the first post
* Click **+ Add to Thread** to add each additional post

<figure><img src="/files/2Golr3pRovOE5Lrdmvkg" alt=""><figcaption></figcaption></figure>

### Create a thread via API

To create a Twitter thread in a single API call, put the first tweet in `content.text` and add the rest of the thread in `content.additionalPosts[]`. Contouron handles reply chaining -- you do not need to capture tweet IDs.

Each entry in `additionalPosts` has its own `text` and `mediaUrls` fields.

See the full payload example in the [API Quickstart](https://docs.contouron.com/api/start#post-a-twitter-thread-with-multiple-posts) or the [Publish Post reference](https://docs.contouron.com/api/api-reference/publish-post#6.-twitter-thread).

Threads also work for Bluesky and Threads using the same `additionalPosts` field.

For an automated thread workflow (email yourself an idea, AI writes the thread, Contouron posts it), see: Email to Long Form Thread


---

# 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://help.contouron.com/tips-and-tricks/twitter-threads.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.
