The experiment name change from "ai-sessions" to "claude-sessions" creates an inconsistency with the provider-agnostic design mentioned in the PR description. The tracking system is designed to work with multiple AI providers (Claude, Codex, GPT), but the experiment name now suggests it's Claude-specific. Consider using a more generic name like "ai-sessions" or "interactive-sessions" to maintain the provider-agnostic nature of the tracking system.

The experiment name change from "ai-sessions" to "claude-sessions" creates an inconsistency with the provider-agnostic design mentioned in the PR description. The tracking system is designed to work with multiple AI providers (Claude, Codex, GPT), but the experiment name now suggests it's Claude-specific. Consider using a more generic name like "ai-sessions" or "interactive-sessions" to maintain the provider-agnostic nature of the tracking system.
```suggestion
mlflow.set_experiment("ai-sessions")
```

_Originally posted by @amazon-q-developer[bot] in https://github.com/atxtechbro/dotfiles/pull/1411#discussion_r2469817603_

Search the repository for the `mlflow.set_experiment` call and inspect the surrounding experiment-tracking configuration. Rename the experiment to a provider-neutral name such as `ai-sessions`, then verify that no related references still use the Claude-specific name.

Written by the indexing model from the issue text.