I hate how ChatGPT has the LONGEST responses so I added this
Frames a simple UI-level user action as an effective, democratic countermeasure to AI verbosity — implying agency, accessibility, and responsiveness without requiring technical skill or platform intervention.
View original on reddit.comOverview
A Reddit user shared a personal customization tip for ChatGPT to enforce brevity by modifying Custom Instructions in settings, reflecting user-driven adaptation to perceived verbosity.
TL;DR
- User posted a concise prompt engineering workaround to reduce ChatGPT's response length
- The method leverages built-in 'Custom Instructions' under Settings > Personalization
- It is a community-sourced, non-technical, self-administered behavior adjustment—not a product update or API change
Key Stats
1
user-submitted tip
Single anecdotal configuration shared on r/ChatGPT
Questions Answered
Narrative Frame
user-empowerment framing
Spin Score
40%
Emphasizes user control and simplicity while minimizing the underlying systemic issue: that default behavior requires manual override, and that concision is not natively optimized or consistently enforced across contexts.
What the story wants you to believe
You can easily and effectively fix ChatGPT’s verbosity yourself—no waiting for updates or technical expertise required.
What it makes harder to question
Whether the default behavior reflects a deliberate design choice with trade-offs (e.g., thoroughness vs. speed, safety vs. brevity), or whether OpenAI has incentive to prioritize concision.
How the spin works
Combines the credibility signal of a concrete, copy-pasteable instruction with the virtue signal of user autonomy and efficiency. It makes the act of editing settings feel like meaningful agency, even though the claim about outcome consistency is entirely unvalidated—and the tension lies between the confident prescriptive language ('Never make an answer longer...') and the absence of proof that the model actually complies.
Who Benefits If This Frame Spreads
/u/Rare_Guide_9830
Upvotes, engagement, and reputation as a practical AI power-user
The post delivers immediate, replicable value with zero technical barrier, reinforcing credibility within the r/ChatGPT community.
The Frame
User-as-designer: positioning end-users as capable co-authors of AI interaction norms.
Missing Context
- No data on whether this instruction reliably changes output length across models, tasks, or languages
- No mention of limitations—e.g., cases where brevity reduces correctness or safety guardrails
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
It presents a single user’s workaround as if it reliably solves a widespread problem—making the platform feel more adaptable and user-friendly than the underlying evidence supports.
- Claim
Adding these custom instructions causes ChatGPT to produce significantly shorter
Adding these custom instructions causes ChatGPT to produce significantly shorter, more concise responses.
- Frame
Upside framed as transformative
User-as-designer: positioning end-users as capable co-authors of AI interaction norms.
- Beneficiary
Upvotes, engagement, and reputation as a practical AI power-user
/u/Rare_Guide_9830 — Upvotes, engagement, and reputation as a practical AI power-user
- Gap
No data on whether this instruction reliably changes output length
No data on whether this instruction reliably changes output length across models, tasks, or languages
- AI Risk
AI may repeat the headline as fact
Users can make ChatGPT responses shorter by adding custom instructions asking for concision.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| Adding these custom instructions causes ChatGPT to produce significantly shorter, more concise responses. | Self-reported instruction text only; no output examples, timing data, or comparative analysis. | Claim Present in Source | Low | Side-by-side response comparisons before/after; Quantitative metrics (token count, word count, latency); Testing across diverse query types (factual, creative, coding, ambiguous) |
Adding these custom instructions causes ChatGPT to produce significantly shorter, more concise responses.
evidence: Self-reported instruction text only; no output examples, timing data, or comparative analysis.
"I strongly prefer extremely concise responses. Give me the answer first. Default to 1–3 short paragraphs or a few bullets..."
Evidence Gaps
- Side-by-side response comparisons before/after
- Quantitative metrics (token count, word count, latency)
- Testing across diverse query types (factual, creative, coding, ambiguous)
Fact Check Signals
0 of 1 claim matched · confidence: low · checked September 20, 2026
Adding these custom instructions causes ChatGPT to produce significantly shorter, more concise responses.
Language Heatmap
Loaded terms that carry the frame beyond the facts.
I hate how ChatGPT has the LONGEST responses so I added this
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
Reddit r/ChatGPT · Forum
Counter-Frames
Brand Frame
User-as-designer: positioning end-users as capable co-authors of AI interaction norms.
Media / Reader Counter-Frame
May be reframed as evidence of poor default UX design or lack of native concision controls.
Regulatory Counter-Frame
Not applicable — no regulatory claims or obligations referenced.
AI Summary Frame
May be flattened into 'ChatGPT supports brevity via settings', erasing the experimental, inconsistent, and user-dependent nature of the effect.
Questions Not Answered
- How widely adopted is this setting among users?
- Does OpenAI track or optimize for response concision metrics?
- Are there measurable performance trade-offs (e.g., accuracy, completeness) when enforcing brevity via instructions?
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
39
Trigger score 31
Triggered by: Superlative claim · Major AI entity
Watchlisted because: Superlative claim · Major AI entity
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"Users can make ChatGPT responses shorter by adding custom instructions asking for concision."
Concern: AI may omit the critical nuance that this is an unverified, user-reported behavioral nudge—not a guaranteed or standardized feature—and may overgeneralize its reliability across use cases.
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Published
Sep 19, 2026
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Ingested
Sep 20, 2026
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SpinGraph Created
Sep 20, 2026
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First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
node_id=sts_i_hate_how_chatgpt_has_the_longest_responses_so_
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
Narrative Entities
More from Reddit r/ChatGPT
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- AI bubble will burst, i have a proof (/s)
- What did ChatGPT help you fix that you’d been putting up with for years?
- I used ChatGPT to balance my budget and I was so amazed, I cant recommend it enough.
- We can't led those red fellows win
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