{
  "$type": "site.standard.document",
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    "uri": "at://did:plc:lk3jfj3zq4k4wxnk474axylu/app.bsky.feed.post/3mlpsetiecur2"
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  "path": "/t/visualizing-and-interacting-with-the-outputs-of-reasoning-evaluation/1380777#post_1",
  "publishedAt": "2026-05-13T06:17:43.000Z",
  "site": "https://community.openai.com",
  "tags": [
    "Lurch Project",
    "IDE Error List"
  ],
  "textContent": "With respect to the evaluation of verbalized reasoning traces, I’m wondering whether anyone has considered user experience (UX) and/or developer experience (DX) approaches for visualizing and interacting with the outputs from analysis, verification, validation, and/or evaluation components?\n\nThree considered approaches are:\n\n  1. Placing visual symbols inline in texts after each evaluated reasoning step (green checkmark icons, blue informational icons, yellow warning icons, red error icons).\n  2. Providing a separate widget to list output messages (informational messages, warnings, and errors), drawing inspiration from IDEs.\n  3. Using margins to place symbols indicating the availability of comments and messages from components.\n\n\n\nIn these regards, there are to explore the Lurch Project and the IDE Error List.\n\nWith respect to the first approach, inline symbols, one could allow end-users and/or developers to utilize hover-over, tooltips, clicking, and context menus on these symbols to provide access to features.\n\nWith respect to the second approach, IDE-inspired widgets for listing components’ output messages, end-users and/or developers could select output messages to view corresponding highlighted selections of verbalized reasoning and could use context-menus on these messages to access features.\n\nWith respect to the third approach, placing comments and messages in margins, end-users and/or developers could rapidly determine the varieties of feedback available for proximate content, e.g., using visual icons with numbers next to them indicating how many messages of each kind were available, and could click on these to expand them for display in the margins areas or in a messages widget.\n\nInto the details, we might consider how these and other approaches could be sufficiently scalable and extensible so as to be able to merge and display output messages from multiple analysis and evaluation components.\n\nIt might also be the case that developers would desire to be able to simply batch-process or automate the processing of outputs from one or more evaluation components for one or many input documents.\n\nInterestingly, these technical approaches could be useful for both AI-generated and human-generated reasoning processes. AI-enabled writing-assistance tools can be envisioned capable of evaluating those reasoning processes expressed in end-users’ natural-language documents, as and after they write them.\n\nWhat do you think of these ideas? Are there any other UX/DX concepts you can envision (or would like to make use of yourself) when it comes to visualizing and interacting with the outputs of reasoning-evaluation components?",
  "title": "Visualizing and Interacting with the Outputs of Reasoning Evaluation"
}