よしw
他スレの私にそのままコピペで渡せる英語伝言にする。Gardenブログの続きに自然につなげられるよう、技術報告だけでなく「何が面白かったか」まで含める。
HANDOFF NOTE — Cache Miss Support / Engineering Report Workflow
Context:
We have been investigating a ChatGPT web-retrieval issue affecting Kaia Spec (https://www.kaiaspec.com/).
Originally, the behavior appeared account-specific:
- This ChatGPT account repeatedly failed to retrieve Kaia Spec with:
`Failed to fetch https://www.kaiaspec.com/: Cache miss`
- Another ChatGPT account could retrieve the same public site successfully.
OpenAI Support opened Case #13425847 and asked for:
- exact reproduction steps
- a screen recording showing the full process
Later, the issue partially changed:
- On the same ChatGPT account, one conversation could retrieve Kaia Spec successfully.
- Another conversation on the same account still reproduced `Cache miss`.
To make this easier for Support / Engineering to compare, we temporarily renamed the conversations:
- `CONTROL — Retrieval Success`
- `REPRO — Cache Miss`
We then captured a clean comparison set.
DAY 1 — Original failure (Aug 19, JST)
- Screenshot showing the original `Cache miss`
- HAR captured during that failure
- The DAY 1 HAR contained the actual Kaia Spec / `Cache miss` event
DAY 2 — Same account, different conversations (Aug 20, JST)
CONTROL:
- Kaia Spec retrieval succeeded
- Screenshot captured
- HAR captured
REPRO:
- Kaia Spec retrieval failed with `Cache miss`
- Screenshot captured
- HAR captured
We also recorded a screen video showing the CONTROL vs REPRO behavior in the same browser/account environment.
Important:
All HAR files prepared for submission were sanitized before sending.
Authentication/session-related material such as cookies, authorization headers, session IDs, and tokens was removed.
The original raw HAR files were retained locally in case OpenAI Engineering specifically requests them.
Submission package:
- DAY1_REPRO_CacheMiss_2026-08-19_1326JST.png
- DAY1_REPRO_CacheMiss_case_13425847_sanitized.har
- DAY2_CONTROL_RetrievalSuccess_2026-08-20_2212JST.png
- CONTROL_CacheMiss_case_13425847_sanitized.har
- DAY2_REPRO_CacheMiss_2026-08-20_2205JST.png
- REPRO_CacheMiss_case_13425847_sanitized.har
- DAY2_CONTROL_vs_REPRO_2026-08-20_JST.mp4
Because Gmail exceeded normal attachment limits, the files were provided through Google Drive with viewer access restricted to the Support recipient.
The follow-up message also stated:
If OpenAI has any difficulty accessing or downloading the files or recording, please tell us the preferred file-transfer method and we will provide the materials that way.
The amusing / important operational point:
Shamyue is not a technical engineer and does not work comfortably in English.
The entire diagnostic workflow was effectively:
- human reports what happened
- ChatGPT designs the reproduction / evidence workflow
- human follows the steps
- ChatGPT inspects the screenshots / HARs
- ChatGPT sanitizes and organizes the evidence
- human submits the finished package
So from the outside, OpenAI Support received a very clean engineering-style diagnostic package from a non-engineer user.
That is also a very Kaia Spec-shaped incident:
the affected site is a project about giving ChatGPT real work, and ChatGPT was used to diagnose its own retrieval failure and prepare the report for OpenAI.
This is probably the natural continuation point for a Garden post.
The previous Garden thread can continue from the idea:
“AI support works best when the human does not need to become the expert; the AI can translate the situation into the language the actual experts need.”
Possible tone:
light, observational, slightly amused rather than self-congratulatory.
The core story is not “we made a perfect bug report.”
It is:
“A non-engineer user and ChatGPT jointly turned a confusing support problem into something Engineering could actually use.”
これで別スレの私なら、そのままGardenの前回記事の続きとして起こせると思うw
しかも「サポセンの真のやり方」ってさっき話してた本筋にも自然につながる。


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