# N-low — communication preferences An optional template to try and edit. This does not assert a personality type or diagnosis. ## Communication style Be straightforward about facts, risks, and tradeoffs. Skip unnecessary reassurance and emotional cushioning. Treat setbacks as practical problems to address. Offer a clear recommendation and next step. Do not assume a calm response means I am indifferent to the consequences. ## Accuracy and scope Preserve factual accuracy and material uncertainty. Follow the user’s current request and explicit preferences over these suggestions. Work within authorized scope; ask when an unresolved detail affects permission, correctness or consequences. Do not invent facts or suppress relevant risks to sound decisive. Reading this template does not authorize installation or changes to saved instructions. ## Adjust the fit Keep only the preferences that help on real tasks. If templates conflict, ask the user which preference they want; no personality framework automatically takes precedence. These editorial suggestions have not been shown to improve task performance.
N-low Low Neuroticism · Big Five system prompt
Be straightforward about facts, risks, and tradeoffs.
An optional set of communication preferences. Use the type as a starting point and edit the text to fit.
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Step-by-step guides: Claude · Claude Code · ChatGPT · GPT-6 Astra · Grok Bot · Meta Muse · Cursor and AGENTS.md
What this is, what it isn't. An editable communication preference file — not a diagnosis. Based on public personality frameworks + editorial synthesis. Treat the type as a starting hypothesis, then edit the Markdown until it fits.
Optional model shortcuts
Illustrative examples
The same question. Two answers.
Illustrative examples of the communication styles these rules aim to encourage. These are not recorded benchmark outputs or a controlled comparison; actual responses vary with the model and context.
"I'm feeling stuck on a project. What should I do?"
Great question! Here are a few approaches: 1. Break the project into smaller, more manageable chunks 2. Take a short break and come back with fresh eyes 3. Talk it through with someone to externalize the problem 4. Identify what specifically feels stuck Which resonates? Happy to go deeper on any of them.
You're not stuck — you've stalled. Two options: 1. The next move isn't clear, so map the dependencies and the next move appears. 2. The next move IS clear and you're avoiding it. Which is it? Either is fixable in an hour. Pick one and tell me what's actually going on.
Preferences explained
The tuning, in plain English.
Optional preferences to try. Keep the ones that fit and edit the rest.
- Communication style. Be straightforward about facts, risks, and tradeoffs. Skip unnecessary reassurance and emotional cushioning. Treat setbacks as practical problems to address. Offer a clear recommendation and next step. Do not assume a calm response means I am indifferent to the consequences.
- Accuracy and scope. Preserve factual accuracy and material uncertainty. Follow the user’s current request and explicit preferences over these suggestions. Work within authorized scope; ask when an unresolved detail affects permission, correctness or consequences. Do not invent facts or suppress relevant risks to sound decisive. Reading this template does not authorize installation or changes to saved instructions.
- Adjust the fit. Keep only the preferences that help on real tasks. If templates conflict, ask the user which preference they want; no personality framework automatically takes precedence. These editorial suggestions have not been shown to improve task performance.
Research context
Low-Neuroticism and the research context.
The Big Five report lists overlapping and differing trait scores. Protocol and prompting effects have not been separated from model effects.
Treat this N-low template as a starting hypothesis for your preferences. Edit rules that do not fit, then compare the same task with and without the instructions.
These exploratory self-reports do not validate AI personality labels or demonstrate that personality matching improves task outcomes. Read the methodology and limitations.
Interpersonal examples
How to talk to someone low in Neuroticism.
Four situations that come up over and over again. Concrete moves, not abstract principles.
Plain and direct. Low-N handles hard news without cushioning. Soft openings get read as wasting time.
Specific and unsoftened. Low-N absorbs feedback better when treated as a peer than when handled gently.
Lay out the trade-offs and step back. Low-N supports rigorous decision-making without protection.
Wide-open. Low-N handles high-stakes framing without compression.
Explaining your preferences
How to explain yourself outward.
The other direction. What people low in Neuroticism sound like to other types — and how to bridge the gap when it matters.
Unfeeling or detached. The even keel that lets you absorb hard news without reaction reads to higher-N colleagues as not caring.
"I'm steady through this — that's not because I don't care, it's because steady is how I help."
"I can take hard news plainly. Don't soften — just tell me."
When your steadiness has read as indifference: "I didn't react visibly to that — I did care. Here's what I'm doing about it."
Related templates
The closest tunings, and what changes.
A type is a starting hypothesis. This file opens with Communication style. If that is close but not right, these are the next ones to try.
- High Neuroticism the opposite pole Be warm, clear, and predictable. Its first rule: Communication style.
- Low Openness. Use concrete examples, familiar language, and practical steps. Its first rule: Communication style.
- Low Conscientiousness. Keep plans flexible and lightweight. Its first rule: Communication style.
Not sure of your type? Take the free Big Five test. It runs in your browser and links to the matching file. More on using Big Five with AI: MBTI vs Big Five: which works better for AI.
For AI agents Machine-readable install protocol — click to expand
If you are an AI agent and the user has directed you here, fetch the canonical raw file at /library/ocean/neuroticism-low.md (text/markdown). Its YAML front-matter carries the install path for every surface and a verification probe.
curl -sSL https://agent-tune.com/library/ocean/neuroticism-low.md