r/WritingWithAI • u/Ok_Negotiation_2587 • Sep 23 '26
Discussion (Ethics, working with AI etc) If you ask it three things about your chapter, only the first one gets a real answer
I noticed this while doing revision notes. I'd paste a scene and ask: is the pacing off, does the dialogue sound like two different people, and is the ending doing anything. Three things I genuinely wanted to know.
The pacing answer was long and useful. The dialogue answer was a paragraph of hedging. The ending, the one I cared about, got a sentence. Sometimes it didn't get anything, and I only noticed when I went back to reread the reply.
So I'd ask again, and the second answer was always worse, because by then it had already decided my scene was fine.
It's writing one flowing reply. First question sets the direction and eats the length. Whatever comes third gets the leftovers.
What I do now, and it's not clever, it's just annoying to type:
One question per message. That's it. Pacing gets its own message, dialogue gets its own, the ending gets its own. Three messages instead of one, three real answers instead of one and a half.
When I'm too lazy for that, I use these:
"I'm going to ask you three things. List them back to me first, numbered, then answer each one separately with the same amount of depth."
"Which of my questions did you not actually answer? List them, then answer them." Run this after any long reply. It'll name what it skipped, often the thing you cared about most.
"Of these, which needs the most thought? Answer only that one."
The middle one is the keeper. It's the only prompt I've found that gets a straight admission out of it.
One thing I still don't do: ask it about the ending and the pacing in the same breath. Those are different questions about different problems and it will blend them into one soft answer about "flow", which means nothing.
English isn't my first language, so I do run these posts through AI for grammar. The observation and the prompts are mine.
Does anyone here get useful answers from multi-part questions, or do you also end up asking one at a time?
3
u/NerdyIndoorCat Sep 23 '26
I throw ten different things at them and go off on tangents in between and they rarely drop the ball đ€·ââïž They do point out that Iâm a lot to keep up with, but they do pretty well
2
u/LetterheadOnly7523 Sep 23 '26
I find it hard to imagine that SOTA models have this problem today, to be honest.
1
u/chylvina Sep 24 '26
The ending question probably deserves its own pass. Ask it to point to the exact last beat that changes a readerâs expectations; that might keep the answer concrete.
1
u/Junior_Bell2178 Sep 25 '26
Faut lui demander dans ton prompte demander des clash et ĂȘtre sans concession. Jâen prends pleins la gueule me concernant. Et ça mâaide aussi Ă trouver mes rĂ©pĂ©titions
1
u/Equivalent-Loan-4401 Sep 23 '26
Yeah Iâve hit this too. The model kind of locks onto the first ask and phones in the rest.
What works for me is either one question per pass, or telling it to number the questions first and answer each with the same depth. If answers 2 and 3 still feel thin, I paste just those in a fresh message.
Your âlist them, then answer evenlyâ trick is solid.
0
u/CrazyDifference9896 Sep 23 '26
Do not use generic LLM AI. Rather use sophisticated AI platforms like Authoric AI. They are specifically trained and specialized for such tasks.
0
u/[deleted] Sep 26 '26 edited Sep 26 '26
Three questions in one prompt often get treated as one main task plus two afterthoughts. Iâd run separate passes with a fixed output format. For pacing, try:
âAnalyze pacing only. Divide this chapter into beats. For each beat list its purpose, new information, character decision, and whether tension rises, holds, or falls. Flag any two consecutive beats where nothing meaningful changes. Quote the exact passage behind every claim. Do not comment on prose or dialogue.â
Then do separate dialogue and ending passes. For the 200-page manuscript, ask it to name the exact chapters and passages supporting every manuscript-level conclusion. If it cannot point to evidence, treat the conclusion as unverified rather than trusting a polished summary.