Hey everyone,
Just wanted to check if anyone else has experienced this kind of behavior from Deep Research and what you’d recommend in my case.
I launched a pretty big research request — a long, structured prompt with around 9 sections — and ChatGPT said it had kicked off a full-scale deep research job. It mentioned a proper PDF would be sent later, after some asynchronous processing.
But here’s what’s happening:
- It’s been almost three days, and I still haven’t received any final result or PDF.
- When I ask ChatGPT to regenerate or show me earlier sections, the answer changes every time — no consistency, no sources, no signs that it’s pulling from an existing research result.
- The model confidently claims the research is “still being prepared”, and that I should wait — but I haven’t seen any documentation or forum threads saying this is a thing (like 1–2 day background research?).
This makes me wonder:
Is this a real feature (long-running async research), or is it just the model hallucinating about how it works?
Also, I noticed that in large requests, the model tends to only return the final section, and skips the earlier ones completely.
Probably this is due to output length or context limits — which means I may be running into a cap without realizing it.
So I’m wondering — is Deep Research really meant for smaller scopes? Should I split up my request into multiple, smaller parts?
Would love to know if anyone has:
- waited over a day and eventually got results?
- confirmed whether ChatGPT can actually re-access a pending Deep Research job after a regeneration?
- tips on how to structure large prompts so they don’t get clipped or ignored?
Thanks a lot in advance!
P.S. I did message support a couple of days ago, but still no response. Just curious — how long do they usually take to get back?