Grant ChatGPT internal access to DALL·E backend diagnostic data

ChatGPT Feature requests
1

I’m an advanced user working with ChatGPT to generate complex image outputs through DALL·E, and I’ve encountered a persistent issue: many generations silently fail, even when image previews appear to begin rendering. This limits creative output and forces blind iteration.

Suggestion: Grant ChatGPT internal access to DALL·E backend diagnostic data.

Here’s why this would be a game-changer:

  1. Real-time failure adaptation
    ChatGPT could intelligently adapt prompts mid-process or across generations based on actual failure causes (e.g., GPU timeouts, token overload, glow stacking issues). This would eliminate the guesswork.

  2. Prompt precision and surgical debugging
    Currently, all prompt adjustments are made blindly. With access to error telemetry, ChatGPT could preserve successful traits and only modify problem areas, drastically increasing fidelity and success rate.

  3. Advanced project support
    Users like me working with multi-layered armor, runes, glowing tribal art, and massive fantasy environments are hitting failure ceilings. This change would unlock much more of DALL·E’s potential for high-concept work.

  4. Minimal risk
    Even a read-only diagnostic mode would improve everything — no need to expose raw model weights or API internals. Just structured feedback: “Render timeout,” “Texture overload,” “Invalid depth map,” etc.

Please consider enabling this bridge or providing a debug-accessible mode for high-complexity users. It’s a meaningful improvement that would benefit every creative or technical user pushing the limits of what DALL·E can do.

Thanks for considering!