Try this in your next ChatGPT chat: ask it three things at once, then watch how the answer breaks down. Count the sentences per question. u/Ok_Negotiation_2587 spotted the pattern first, and it holds up every time.
Real depth for question one, a thin paragraph for question two, a single line or nothing for question three. That shape is a habit, and it is costing you time every single day. Most people never notice it happening. They just end up sending two follow-up messages to drag out answers they already asked for. Then they blame themselves for not phrasing it clearly.
This Redditor pointed out that ChatGPT writes one continuous reply. By the time it reaches your last question, it has already locked in a direction and a length. Whatever room is left gets whatever question is left, and that is rarely a fair trade.
The fix does not require a new tool or a better model. It requires four short prompts that change how the model allocates its attention. Run these the next time you stack multiple asks into one message.
The Quick Test: Four Prompts, Four Fixes 🧪
1. Make it repeat the questions back first
I’m going to ask [3] things. Before answering, list them back to me as separate questions, numbered. Then answer each one under its own number, and give each the same depth.
2. Ask for the hardest one alone
Of the questions I just asked, which one needs the most thought? Answer only that one, in full, and ignore the rest for now.
3. Force equal weight
Answer each of these in [4] to [6] sentences. Not more for the first one, not less for the last.
4. The catch-all afterwards
Which parts of my message did you not address? List them, then answer them.
Each prompt attacks the same problem from a different angle. The first forces the model to commit to your full list before it starts drafting anything. The second cuts through the length problem entirely by making the model pick a winner. The third caps the first answer so it cannot eat the whole budget. The fourth is a cleanup pass. The original poster called it the one worth keeping, since it usually names the exact thing that got skipped the first time around.
This Redditor also builds AI Toolbox, an extension that adds a prompt library and folders to chat assistants. All four prompts stay saved there with the blanks left open, ready for quick reuse.
What the Results Mean 📊
Run prompt one and get a clean numbered list back? The model is now tracking your questions as separate objects instead of one long thought, so depth should even out across all three answers.
Run prompt four and it comes back empty, claiming it covered everything? Good, that confirms your original message was actually balanced. That happens less often than you would think.
Run prompt four and it surfaces something you had already forgotten you asked? That is the tell. The model was writing on autopilot and quietly dropped a question, exactly like the original post describes.
Run prompt two and the model picks the question you least expected? That is worth sitting with. It often means the “easy” question you assumed would get a quick answer actually needed more room. The model was quietly shortchanging it the whole time.
Extra Tips 💡
- Save all four prompts as library entries with the placeholders left in. Swap the numbers per conversation instead of retyping the whole thing every time.
- The simplest fix is still one question per message. Each answer becomes its own place in the thread you can scroll back to later.
- Running a long brief or a multi-part brainstorm? Fire prompt one at the start of the chat, not partway through. Setting the structure early keeps every later reply consistent.
- Pair prompt three with a word count, not just a sentence count, when answers need to slot into a table or a script.
- Keep a copy of prompt four pinned somewhere. It is the fastest single line for catching what a long reply missed.
Prompt of the Day 🚀
Which parts of my message did you not address? List them, then answer them.
Drop that line at the end of your next long ChatGPT message and watch what falls out of the reply. Then swing by the original thread on r/ChatGPTPromptGenius to see what other prompt engineers caught in their own chats. So, which question in your last multi-part message got quietly dropped? ✅
Frequently Asked Questions
Q: Why does ChatGPT give worse answers to later questions when I ask multiple things at once?
ChatGPT generates answers sequentially, committing to a tone and response length early. By the time it reaches your third question, it’s already allocated most of its reply to earlier ones, so later questions get less depth. This isn’t laziness, it’s how token generation works.
Q: Which technique actually works best: repeating questions back, forcing equal sentence counts, or the catch-all prompt?
The “catch-all” approach (“Which parts did you not address? List them, then answer them”) is most reliable for catching what got skipped. For guaranteed equal depth upfront, specify sentence counts like “4, 6 sentences each.” But the simplest habit that works best? Ask one question per message, you get better answers and a cleaner chat history to reference later.
Q: Do I really need to use these techniques every time, or just for important questions?
For quick, surface-level stuff, bundling questions is fine. But if you need thorough, well-reasoned answers, research, planning, decisions, one question per message almost always wins. It takes longer but pays off in quality.
Q: ChatGPT still skipped something I asked about. How do I make sure it addresses everything?
Run the catch-all prompt: “Which parts of my message did you not address? List them, then answer them separately.” It usually uncovers one or two overlooked items, including the thing you actually cared about most.
Put three questions in one message and ChatGPT answers the first one properly, then skims the other two
by u/Ok_Negotiation_2587 in ChatGPTPromptGenius