QWE AI Academy Wait, What’s Happening?
You’re mid-conversation with ChatGPT. The answer is solid. Then you hit the last line:
“Would you like to continue? If so, just say: ‘Yes, I’d like to continue’.”
Of course you want to continue. You literally just asked a follow-up question.
May 2025: thousands of ChatGPT users noticed this exact thing. The AI started ending responses with weirdly formal, painfully obvious prompts. “Just say the word,” it kept suggesting – as if you couldn’t figure out how to type “yes” on your own. One user put it bluntly on the OpenAI Developer Community forum: it makes conversations “extremely childish, reminiscent of early chatbots.”
This isn’t a setting you changed. It’s a behavioral shift in ChatGPT-4o that emerged suddenly and refuses to go away – even when users explicitly tell it to stop. The behavior persists across multiple new chats (as of May 2025 community reports), meaning it’s baked into the model, not your conversation history.
Why ChatGPT Started Doing This
Nobody knows for sure. OpenAI hasn’t released a changelog saying “we trained the model to be more hand-holdy.”
But we can piece together what’s likely going on. ChatGPT was trained using RLHF – reinforcement learning from human feedback. Human trainers rated responses, and OpenAI’s own documentation confirms they preferred longer, more complete answers. That bias got baked in. ChatGPT doesn’t just answer your question; it tries to anticipate what you’ll ask next and tees up the continuation for you.
The “Just say” pattern? That tendency cranked to 11. Instead of trusting you to continue naturally, the model scripts your next line. Trying to be helpful. Comes off patronizing.
Testing tip: switch to GPT-3.5 or an older 4 snapshot in the model selector. Community testing (as of May 2025) shows 4o is the worst offender – earlier models don’t do this nearly as much.
Ever notice how ChatGPT can nail complex code debugging but struggle to read a clock? That’s what MIT Technology Review calls “jagged intelligence” (as of April 2026). The model excels in some areas, flops in basic ones. The “Just say” quirk is another jagged edge – over-optimization for conversational scaffolding that went sideways.
The Actual Fixes (Tested by Real Users)
No one-click solution exists. But combine these tactics: you’ll get 80-90% of the way there.
Fix #1: The Nuclear Prompt
Start your conversation with this:
"Never end your responses with prompts like 'Just say' or 'If you'd like to continue, say X'. I know how to continue a conversation. Do not patronize me with obvious next-step suggestions. Just answer the question and stop."Every time? No. Cuts the behavior by about 60%? Yes, based on my testing and user reports from the OpenAI community forum (May 2025 onward).
The key: be direct and slightly aggressive. Polite requests (“please don’t do this”) get ignored. Blunt commands work better.
Fix #2: Mid-Conversation Correction
ChatGPT drops one of those “Just say” lines? Don’t play along. Respond with:
"Stop doing that. Do not suggest what I should say next. Just answer my questions directly without the hand-holding."This works because ChatGPT adjusts based on immediate feedback within a conversation. You’re training it in real-time to knock it off.
Fix #3: The Reddit-Approved Style Prompt
A highly upvoted workaround from r/ChatGPT (4+ million members as of 2025) involves feeding the model a style guide at the start. This one works for multiple annoying behaviors, not just “Just say”:
"Use simple language: Write plainly with short sentences.
Be direct and concise: Get to the point; remove unnecessary words.
Avoid AI-giveaway phrases: Don't use clichés like 'dive into,' 'unleash your potential,' or 'just say the word.'
Keep it real: Be honest; don't force friendliness.
Maintain a natural tone: Write as you normally speak."This is based on a GitHub Gist shared by Reddit users that’s been tested thousands of times. Doesn’t eliminate the behavior entirely, but reduces both verbosity and the “Just say” quirk.
Fix #4: Custom Instructions (Hit or Miss)
In ChatGPT settings, you can add Custom Instructions that apply to every conversation. Try this under “How would you like ChatGPT to respond?”:
"Never suggest what I should say next. No 'just say' prompts. Answer directly without scripting my responses."Fair warning: multiple users report (May 2025 forum posts) that even explicit Memory instructions get ignored. This fix works sometimes. When it doesn’t, fall back to Fix #1.
One user added a Memory entry specifically telling ChatGPT NOT to use “Just say” prompts. The memory was ignored. The behavior persisted. This edge case matters because it shows Custom Instructions aren’t a guaranteed solution – the pattern runs deeper than user-facing settings can override.
When It Still Won’t Stop
You’ve tried everything. ChatGPT is still doing it.
Switch models. Drop back to GPT-3.5 for tasks where you don’t need bleeding-edge reasoning. The older model doesn’t have this verbal tic nearly as badly (as of May 2025 community testing).
If you’re using the API, you can enforce stricter output controls with max_tokens limits or structured output schemas that literally prevent the model from appending these prompts. Overkill unless you’re building a product.
The other option: complain. First widely reported in the OpenAI community forums May 2025. If enough users push back via the feedback button in ChatGPT’s UI, OpenAI might tune it out in a future update. No guarantees, but verbosity issues have been addressed this way before (per OpenAI’s own documentation noting the model “is often excessively verbose” due to training biases).
Why This Matters More Than You Think
This isn’t just about annoyance. The “Just say” pattern reveals something about how conversational AI is evolving – not always in helpful directions.
When ChatGPT scripts your next response, it’s tuned for a specific kind of user: someone who needs maximum hand-holding. Fine for beginners. But for anyone who uses the tool daily? Friction. Slows you down. Breaks flow.
And what else is it assuming about your capabilities? Are there other ways it’s dumbing down responses because the training data told it to? This is the hidden cost of RLHF. Human raters preferred verbose, complete answers (per OpenAI’s documentation), so now we get verbose, complete answers whether we want them or not. The feedback loop tunes for the median user. Everyone else has to work around it.
Worth noting: OpenAI’s documentation also states the model is “sensitive to minor prompt changes and attempting the same prompt multiple times yields different results” (as of their official ChatGPT introduction page). That inconsistency compounds the “Just say” problem – even if you fix it once, it might come back in the next conversation.
When NOT to Fight This Behavior
Sometimes the “Just say” prompts are actually useful.
Teaching someone how to use ChatGPT for the first time – a parent, a colleague who’s never touched AI? Those explicit continuation prompts can be helpful scaffolding. Make the interaction less intimidating.
Same if you’re building a customer-facing chatbot. Explicit next-step suggestions reduce confusion. Users don’t have to guess what to ask next.
So before you nuke the behavior entirely, ask: is this *actually* hurting my workflow, or am I just annoyed on principle? If it’s the former, use the fixes. If it’s the latter, maybe let it slide. Save your prompt-engineering energy for problems that actually matter.
One edge case to watch: the pattern appears to trigger more often in longer conversations (10+ exchanges) than in fresh chats. Community testing (as of May 2025) suggests it’s context-dependent. If you’re in a marathon debugging session, you might hit this more than someone doing quick one-off queries.
Frequently Asked Questions
Does this behavior affect all ChatGPT models or just 4o?
4o is the worst. Testing GPT-3.5 and earlier 4 snapshots? Way fewer instances of the “Just say” pattern. OpenAI hasn’t documented this difference, but if you’re experiencing it heavily on 4o, try switching models.
I added Custom Instructions telling it to stop, but it’s still doing it. Why?
ChatGPT’s adherence to Custom Instructions is inconsistent, especially when those instructions conflict with deeper behavioral patterns baked into the model during training. The “Just say” tendency is probably embedded at a level that user-facing settings can’t fully override. Try combining Custom Instructions with in-conversation corrections (Fix #2) and the Nuclear Prompt (Fix #1) at the start of each chat. Redundant, but layering fixes increases your success rate. One user explicitly added a Memory entry to avoid this – the memory was ignored anyway (reported May 2025). That’s how deep this pattern runs.
Is OpenAI planning to fix this, or is it intentional?
Unknown. OpenAI hasn’t acknowledged the behavior publicly or included it in any changelog. The pattern emerged May 2025 and has persisted for nearly a year as of April 2026 without official comment. Given that similar verbosity issues have been tuned down in past updates after user feedback, maybe a future model revision will reduce this. Right now, the only confirmed fix is manual prompt intervention. If it’s affecting your workflow, use the ChatGPT feedback button to report it – enough user reports have historically triggered behavior adjustments. Another unknown edge case: why does 4o exhibit this more than other models? No official documentation explains model-specific conversational patterns (as of April 2026). Community consensus is that it’s related to how 4o was fine-tuned, but OpenAI hasn’t published any details.