# Session Analysis: rollout-2026-01-28T17-08-14-019c0593-bd77-7231-b8e1-23081cb3e211.jsonl

**Date**: 2026-01-28 | **Duration**: 0.1s | **Turns**: 6 | **Model**: gpt-5
**Type**: bug-fix | **Outcome**: abandoned | **Specificity**: 4/5 | **Struggle**: 6/10

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## Journey

This is a near-instant duplicate of the previous session. The developer re-opened Codex CLI with the same question about improving their model, using identical training output. The session lasted only 0.1 seconds — the assistant never produced a response or made any tool calls. This appears to be an accidental session creation or an immediate re-interruption.

## Prompting Assessment (3/5)

**What worked:**
The developer again provided the full training log with all 17 epochs of metrics, which is good diagnostic material.

> "Epoch 001 | train_loss=0.2603 | test_loss=0.2579 | elapsed=155.0s\n...\nEpoch 017 | train_loss=0.1905 | test_loss=0.3313 | elapsed=153.9s\n\n\nhow to improve my model?"

**What was vague or could improve:**
Same issue as the previous session — the question is too broad. The developer also set `effort` to `xhigh` for this session, suggesting they wanted a thorough answer, but then abandoned instantly.

> "how to improve my model?"

## Outcome: abandoned

**Evidence:**
The session has zero assistant messages and zero tool calls. The developer exited before the model could even begin processing. The 0.1-second duration confirms this was essentially a non-session.

## Struggle Points

This session represents a pattern of rapid session cycling — opening and immediately closing sessions. Combined with the previous 10-second session, the developer created two abandoned sessions in under 20 seconds on the same question.

> "how to improve my model?"

This exact question was asked in both sessions, neither time receiving an answer.

## Aha Insight

The `effort` parameter was set to `xhigh` (the highest available), yet the session was abandoned in 0.1 seconds. This suggests the developer may have been experimenting with Codex CLI settings or may have realized they needed to frame their question differently. The effort setting mismatch (maximum effort requested, zero patience given) is a signal of frustration or workflow friction.

**Evidence:**
> Session metadata shows `"effort": "xhigh"` with `"duration_seconds": 0.1` — maximum effort requested but zero time given.

## Coach Tip

If you find yourself opening and closing sessions rapidly on the same question, pause and rewrite the prompt before trying again. Spend 30 seconds crafting a specific question with context (what you've tried, what metric you care about, what your architecture looks like) rather than cycling through sessions with a generic "how to improve?"
