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

# Agentic artifacts

Let agents read Playwright traces in small steps, and post screenshots, traces and recordings from Currents to GitHub, Slack and Linear

These pages work for everything Currents recorded: CI runs from [Agentic testing](/ai/agentic-testing.md) and sessions from [Agent evidence](/ai/agent-evidence.md).

A screenshot shows what the page looked like. A Playwright trace shows why: every action, the page after each action, and every network request. Currents gives each trace a link that an agent reads one small part at a time, and that gives people images to put in a pull request or a chat.

| You want to                                                                             | Read                                                                    |
| --------------------------------------------------------------------------------------- | ----------------------------------------------------------------------- |
| Let an agent find the cause of a failure in a trace, without loading the whole file     | [Explore a trace](/ai/agentic-artifacts/explore-a-trace.md)             |
| Put screenshots, traces and recordings on a pull request, in Slack or on a Linear issue | [Post to GitHub, Slack, Linear](/ai/agentic-artifacts/post-evidence.md) |


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# 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.currents.dev/ai/agentic-artifacts.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.

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.