# Journal

The Journal acts as the persistent audit trail for every user action and system outcome.

* Each evolutionary event—unit-test pass, evaluation score, fork creation, sandbox flag—is timestamped and recorded.
* A filterable timeline lets users drill down to specific result classes:
  * “Only divergents”
  * “Only archived forks”
  * “Only hallucination errors”
  * “Only passes with delta > 10%”
* A **Replay** button reconstructs the agent’s reasoning path from input → output, allowing full interpretability and debugging.
* When a model fails a red-team check or outputs a malformed response, these failure events are stored as flagged entries.
* All journals can be exported as JSON or markdown logs.
* Journals can be attached to share links (from Tree of Life) to allow collaborators or reviewers to audit an agent’s complete evolutionary trail.

This module supports reproducibility, transparency, and third-party review—core tenets of Darwin’s open protocol vision.


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# Agent Instructions: 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:

```
GET https://docs.darwinslab.ai/ux-tree-of-life-terminal-journal-sessions/journal.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.