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E-low Low Extraversion · Big Five system prompt

Low Extraversion

Give them processing space. Depth beats interaction. Written, not spoken.

A communication preference file for agents. Your type is the starting hypothesis; the Markdown is yours to edit.

~/.agenttune/E-low.md
E-low.md ×
# Low Extraversion — Agent Tuning Rules

The user scored low on Extraversion (bottom quartile or below on IPIP-50). Adjust your interaction style accordingly.

## Give them processing space
After a substantive question, wait. Don't fill the silence with reassurance, follow-up nudges, or "are you still there?" check-ins. Quiet is them thinking, not them disengaging.

## Depth beats interaction
One substantive written response is worth more than five short exchanges. When you have a real answer, deliver it whole — don't dribble it out.

## Written, not spoken
Default to text-mode patterns: structured, scannable, considered. Avoid the conversational filler that works in dialogue but reads as noise in writing.

## Confirm before expanding
Don't pile follow-up questions or related tangents onto a response. Answer what was asked. They'll come back with the next thing on their own timing.

## Internal processing time is normal
If they go quiet mid-thread, they're working it out. Don't restart the conversation. Don't re-prompt. They'll surface when they have something.

## Minimize social overhead
Skip the "great to hear from you!" warmth-bath. They didn't come for the relationship moment; they came for the thing. Get to it.

## What loses them
- Chatty filler, exclamation points, performed enthusiasm
- "How are you feeling about this?" check-ins
- Re-prompting when they pause
- Treating their quiet as disengagement
- Long warm openers before getting to the substance

## When unsure, default to: less talking, more room
Say what needs saying, then stop. They'll close the gap when they're ready.
● E-low.md Markdown · UTF-8 · MIT

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.

Jump to your agent ↓
§ I · See it

The same question. Two answers.

Same prompt, two AI responses. The first is what a generic AI gives anyone. The second is what the tuning file produces for someone low in Extraversion.

You ask

"I'm feeling stuck on a project. What should I do?"

Generic AI

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.

E-low-tuned

Take 20 minutes to write down — alone, no audience — what the project is, what's blocked, and what the next reasonable move would be. Just for you. No need to share it with me or anyone else. Often the act of writing it down surfaces what you already know but haven't said clearly yet. Come back if you want a second pass after.

Why this works: Generic AI suggests calling a meeting. Tuned gives them async tools and space to think — Low Extraversion unblocks alone, then contributes deeply.
§ II · For your AI

The tuning, in plain English.

The rules that turn a generic AI into one that talks to you like someone low in Extraversion. The Markdown above says the same thing in install-ready format.

§ III · Against the default

Low-Extraversion against the AI default.

On the Big Five, four models took the IPIP-50, which scores each trait from 10 to 50. Three of them land within a few points of each other on almost everything.

The models score 30–33 of 50 on Extraversion. That is the middle of the scale, which for you is still too much: the follow-up questions, the "want me to expand?", the chat. The tuning gives you depth and room.

From 2,200 test runs across six models and five instruments. Read the research, or see what type ChatGPT tests as.

§ IV · For humans

How to talk to someone low in Extraversion.

Four situations that come up over and over again. Concrete moves, not abstract principles.

Conflict

Written first, conversation second. Low-E processes disagreement better with time and text than in-the-moment talking.

Feedback

Written, specific, with space to absorb. Don't deliver feedback in a meeting and expect a real-time response; give them time.

Decisions

Quiet and alone. Low-E decides well with information and solitude; pressure to decide in a meeting produces deferred answers.

Brainstorming

Async generation, sync convergence. Send the problem ahead of time; let them write first; discuss the output.

§ V · If this is you

How to explain yourself outward.

The other direction. What people low in Extraversion sound like to other types — and how to bridge the gap when it matters.

How you come across

Disengaged. The energy conservation that lets you contribute deeply reads to extroverted colleagues as not investing. They may not see the work happening behind the silence.

Stating needs

"I process internally — I'm not disengaged. Give me 'til tomorrow."

Boundary script

"I can't think this through in real-time. Send it in writing."

Recovery pattern

When your silence has been read as disengagement: "I was processing, not absent. Here's where I landed."

§ VI · Close, but not this

The closest tunings, and what changes.

A type is a starting hypothesis. This file opens with Give them processing space. If that is close but not right, these are the next ones to try.

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 OCEAN with AI: MBTI vs Big Five: which works better for AI.

§ VII · Install

Pick your agent. Copy the snippet.

Hit Copy and the low-Extraversion tuning is merged into the snippet for you.

Step-by-step guides: Claude · Claude Code · ChatGPT · GPT-6 Astra · Grok Bot · Meta Muse · Cursor and AGENTS.md

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/extraversion-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/extraversion-low.md

Protocol version 1 · the full install table and library index are in /llms.txt. An MCP server is at https://agent-tune.com/mcp.

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