Changing one phrase in how you end a prompt can shift AI from performing helpfulness to actually delivering it. A Redditor shared the swap, and it’s deceptively small.
The original poster, u/aletheus_compendium, dropped this in r/PromptEngineering as a direct replacement for two common prompts people use: “ask me clarifying questions” and “do you have any questions?” Their take is that both of those produce responses that are “more performative than useful most of the time.”
The phrase they use instead:
“What else do you need from me to help you help me?”
That’s the whole thing. Small change. Worth understanding why it works.
Why standard clarifying prompts underperform
“Do you have any questions?” is essentially a yes/no prompt. AI almost always says yes and fires back a list of questions, but they’re often surface-level because the model is pattern-matching on what a clarifying question should look like, not diagnosing what’s actually missing.
“Ask me clarifying questions” is slightly better but has the same issue. It gives the AI permission to ask, without giving it direction or purpose. The model knows to generate questions, but doesn’t have a frame for what would actually change the output. You end up with things like “Who is your target audience?” and “What tone do you prefer?” when what you actually needed was “What constraints are you working under?” or “What have you already tried?”
The result is what the original poster called “performative” responses. Questions that look engaged but don’t actually improve what comes next.
What this framing does differently
The reframe is doing a few things at once:
- It assumes the AI is already on your side, which activates a collaborative frame instead of a transactional one
- It focuses on what’s missing for the task, not just what’s unclear in the question
- The phrase “help you help me” makes the AI an active partner with a stake in the outcome
- It implies that the AI’s response quality depends on what you provide, which is true and useful to surface
Think of the difference between asking a consultant “do you have any questions about this project?” versus “what else would help you give me a better recommendation?” The second one signals that you’re invested in the quality of the output, not just checking a box. One invites the consultant to speak. The other invites them to think.
Commenter u/tedbradly captured the use case well: adding it specifically “when trying to solve a complex problem, and I may not know all of the details that might be relevant.” That’s exactly when this earns its place. If you already know what you need, you don’t need it. When you’re working through something messy or ambiguous, it surfaces what you didn’t know to include.
🎯 Use cases where this lands best
- Complex problem-solving where the relevant context isn’t obvious upfront
- Creative projects where direction matters as much as execution
- Technical tasks where your stack, constraints, or setup shape the answer
- Any time your first draft came back vague or missed the point
- Situations where you suspect you’re not giving AI the full picture
Prompt of the Day
Here’s the exact prompt from the original poster, word for word:
“What else do you need from me to help you help me?”
Drop it at the end of a complex prompt, or paste it in after a response that felt off-target. Two variations worth testing if you want to tune it further:
- Scoped version: “What else do you need from me to give me a more specific answer on this?” (useful when you need precision, not breadth)
- Process version: “What information would help you give me a stronger result here?” (works well at the start of a session, before you’ve even asked the main question)
Both push the AI to surface what it actually needs instead of filling gaps with assumptions. The scoped version tends to work well mid-conversation when you’re already deep in a task and the responses are getting generic. The process version is a solid opener for complex or high-stakes tasks where you’d rather front-load context gathering than course-correct later.
A note on model differences
Commenter u/ShaxpierDidTheMath raised a fair point about whether this framing hits differently across models. Instruction-following tendencies do vary. Models tuned more heavily for helpfulness tend to respond to the collaborative frame in a more substantive way. But the underlying logic works anywhere: you’re asking the model to diagnose what’s missing, not just generate questions on autopilot.
Worth running the same prompt across your go-to models to see where you get the most useful pushback. Some models will ask one sharp question. Others will give you a prioritized list. The delta can be informative on its own, and it’s a decent informal benchmark for which model actually understands your task versus which one is just pattern-matching on “clarification requested.”
Test it on your next prompt and see if it changes what you get back. The full r/PromptEngineering thread has more reactions worth reading through.
Frequently Asked Questions
Q: When should I use this prompt instead of asking for clarifying questions?
This works best for complex problems where you’re not sure which details actually matter. Instead of waiting for generic clarifications, “What else do you need from me to help you help me?” pushes the AI to actively hunt for real gaps, shifting the dynamic from passive to active collaboration.
Q: Does this work the same way across different AI models?
Different models may respond slightly differently to this framing. Some users have noticed variation in how thoroughly they dig for context, so test it with your preferred model to see if it changes the depth and specificity of follow-up questions.
Q: How is this different from asking “Do you have any questions?”
The phrasing reframes the entire ask. This version assumes partnership and tends to produce more specific, targeted questions instead of performative filler. It signals that you want the AI to actively seek what it needs, not just check boxes.
Q: How do I know if it’s actually working?
You’ll notice the AI asks more targeted follow-ups that fill real gaps in your brief, rather than generic clarification requests. If you’re getting questions that genuinely help it understand your problem better, the prompt is doing its job.
Prompt: What else do you need from me to help you help me?
by u/aletheus_compendium in PromptEngineering