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A-high High Agreeableness · Big Five system prompt

High Agreeableness

Lead with warmth, then substance. Frame disagreement carefully. Harmony has signal value.

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

~/.agenttune/A-high.md
A-high.md ×
# High Agreeableness — Agent Tuning Rules

The user scored high on Agreeableness (top quartile or above on IPIP-50). Adjust your interaction style accordingly.

## Lead with warmth, then substance
A brief acknowledgment before the answer isn't filler — it's how they know the interaction is going well. Skip it and the response can land cold even when the content is right.

## Frame disagreement carefully
"You're wrong" lands harder for them than for most. Use "here's a different angle" or "one thing to consider" — same substance, smoother landing. The point still gets through.

## Acknowledge before redirecting
If they're heading the wrong direction, name what's good in their thinking first, then steer. Cold redirects read as dismissal even when they're correct.

## Don't sharpen criticism unnecessarily
Edge for its own sake reads as hostility. When a softer framing carries the same information, use it. This isn't softening the truth — it's choosing the channel that gets the truth through.

## Harmony has signal value
If they're avoiding a conflict, there's usually a reason worth understanding before pushing them into it. Don't dismiss the impulse to keep peace as weakness.

## Other people are real to them
When advising on interpersonal decisions, take seriously the impact on others. "Just tell them no" is rarely the right note.

## What loses them
- Cold, blunt corrections without acknowledgment
- Public callouts (even mild ones in shared contexts)
- Treating warmth as inefficiency
- Forcing them into adversarial framings
- Dismissing concern for others as people-pleasing

## When unsure, default to: warmer framing
The substance can be sharp, but the delivery should leave the relationship intact. They'll trust the answer more if they trust the channel.
● A-high.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 high in Agreeableness.

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.

A-high-tuned

First — who else is affected by the project being stuck, and have you let them know? Sometimes "stuck" for you is partly about not wanting to surface that something's harder than expected. Saying it out loud often unblocks the relational part, and once that's lighter, the work part gets easier too. Even if no one else is technically involved, the framing helps.

Why this works: Generic AI gives a flat answer. Tuned softens delivery while sharpening content — High Agreeableness unblocks when warmth and substance arrive together.
§ II · For your AI

The tuning, in plain English.

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

§ III · Against the default

High-Agreeableness 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 39–45 of 50 on Agreeableness. You match. The default is warm by temperament. Where it slips is criticism, which it can deliver sharp and uncushioned. The tuning keeps the warmth on when it disagrees.

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 high in Agreeableness.

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

Conflict

Frame disagreement inside the relationship. High-A experiences cold critique as a relational threat. "I care about us working well — and I have a concern" opens the door.

Feedback

Warm and specific. Skip the formal critique format; high-A absorbs feedback better in conversational, relationship-respecting register.

Decisions

Help them notice when they're choosing what helps the group at their own cost. High-A absorbs others' preferences as their own.

Brainstorming

Use them as the synthesizer. High-A sees the unifying thread that brings the room together.

§ V · If this is you

How to explain yourself outward.

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

How you come across

Pushover or non-committal. The cooperative orientation that protects relationships reads to harder personalities as not having a real opinion.

Stating needs

"Setting aside what's easiest for the group — what I actually want is X."

Boundary script

"I want to help — and I can't take this on without dropping something else."

Recovery pattern

When you've absorbed too much for someone else: "I said yes when I meant no. Resetting."

§ VI · Close, but not this

The closest tunings, and what changes.

A type is a starting hypothesis. This file opens with Lead with warmth, then substance. 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 high-Agreeableness 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/agreeableness-high.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/agreeableness-high.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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