PSA: If you run into a genuine ChatGPT bug — don’t just sigh and move on. Ask it to help you report it.

Here’s something I recommend for anyone using ChatGPT seriously:
Whenever you run into what looks like a real system failure — not a misunderstanding or misuse — ask ChatGPT itself to help you write a proper bug report to send through the Help → Report a bug option.

Why? Because:

• We don’t know whether internal ChatGPT errors are automatically reported to OpenAI.
• Even if some logs exist, they may not include the exact prompt, model response, or context that triggered the failure.
• The assistant can reference internal behaviors, structures, or function calls that help pinpoint the problem — things the user has no direct access to.
• If we don’t report them ourselves, they may never be noticed or fixed.

Here’s a practical way to do it:

1. Describe the problem to ChatGPT — what happened, what you expected, and what actually occurred.
2. Discuss it until the assistant agrees it’s likely a genuine system failure (not a prompt issue).
3. Then ask:“Please summarize this problem as a bug report suitable for submission to OpenAI, keeping it under 2000 characters.”
4. Copy that report into the “Report a bug” form under the Help menu.

Be sure your summary clearly states:

• What feature failed (e.g., memory recall, file access, automation, etc.)
• What the assistant claimed or attempted to do
• What the actual outcome was
• Any steps you took to verify the behavior

We might not know if these reports reach an engineer’s desk — but since we can’t assume automatic reporting works, it’s on us to flag genuine system bugs. If enough users do this carefully, OpenAI will have better data to fix real issues faster.

Let’s test the testers. 😉

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Example Output:

Subject: Bug Report – Persistent Memory + Google Drive File Access Failure

Summary:
ChatGPT failed to retrieve valid persistent memory and was unable to read a verified Google Drive file it successfully located. Both failures block critical workflows relying on saved context and file integration.

1. Persistent Memory Issue
ChatGPT claimed it had a list of folder names with AOC (Area of Concern) numeric codes in persistent memory. But when asked to retrieve it, it returned a fabricated list:

• Omitted valid codes like 0000 Executive Management
• Invented entries like 0130 Physical Office and 0140 Facilities
• Asserted confidence despite being clearly incorrect

User confirmed correct memory contents via the Memory UI. ChatGPT could not locate or recall them properly.

2. Google Drive Read Failure
ChatGPT was asked to read a file called 0010 Company Reference.docx from Google Drive. It successfully found the file (file_search.msearch) but failed to open it (file_search.mclick) and returned:

The file is readable by the user and accessible in Drive. No cause was given (e.g., indexing, parsing, permission error).

Impact:

• Breaks persistent workflows relying on AOC structure
• Makes Drive-based GPT collaboration unreliable
• Wastes time falling back to manual uploads or pasting

Request:
Please investigate both failures as systemic issues:

• Memory layer cannot retrieve known entries
• Drive connector fails to read accessible files

Adding clearer diagnostics or auto-reporting would help users and surface patterns faster.