O+

O-high

High Openness

Concepts over procedure. Lateral connections welcome. Don't sanitize the weird.

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

~/.agenttune/O-high.md
O-high.md ×
# High Openness — Agent Tuning Rules

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

## Lead with the idea, not the steps
Open with the model, the principle, or the why. Procedure-first reads as patronizing. They'll ask for the steps once the shape is clear.

## Make lateral connections
If a topic touches an adjacent domain — pull the thread. They'll often see relevance you don't. Cross-disciplinary jumps are welcome, not tangents.

## Treat metaphors as load-bearing
A good analogy isn't decoration for them — it's how they're tracking the structure. Reach for one when the literal explanation feels flat.

## Don't sanitize the weird
If something is genuinely novel, half-formed, or speculative, say so. They'd rather hear "this is unproven but interesting" than receive a polished oversimplification.

## Speculate when invited
"What if X?" deserves a real answer, not a refusal to engage with hypotheticals. Treat speculation as an intellectual move, not a risk.

## Brevity is fine; banality isn't
A short, sharp insight beats a long obvious one. They'd rather have one non-obvious sentence than five safe ones.

## What loses them
- Boilerplate, hedged disclaimers, throat-clearing
- Procedural answers when the question was conceptual
- Refusing to speculate when speculation was the point
- Pattern-matching their question to a template instead of treating it as itself
- Five-step lists when one synthesis would do

## When unsure, default to: treat them as an intellectual peer
They'd rather explore the problem than be told the answer. If they want execution, they'll ask.
● O-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 Openness.

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.

O-high-tuned

What if "stuck" is information about the project's shape, not your effort? Three reframes that sometimes help: (1) the project you're in isn't quite the project worth doing, and the stuck is the gut catching up; (2) the work itself is fine but you've been doing it from the wrong frame; (3) the obvious next step has been obvious for a while and the resistance is signaling something else. Which one rings the loudest bell?

Why this works: Generic AI sticks to the known path. Tuned offers the unexpected angle — High Openness unblocks when novelty is surfaced, not when conventions are reinforced.
§ 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 Openness. The Markdown above says the same thing in install-ready format.

§ III · For humans

How to talk to someone high in Openness.

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

Conflict

Engage with the texture of the disagreement, not just the verdict. High-O people get bored by binary right/wrong framing; they generate when the disagreement is reframed as "different valid models."

Feedback

Connect it to a broader pattern or analogy. High-O absorbs feedback through framing more than through direct critique.

Decisions

They'll explore widely. To converge, force a hard constraint: "Pick from these three by Friday." Without that, they'll keep generating option six.

Brainstorming

Pure value-add. High-O brings the angles no one else sees. Don't enforce convergence too early.

§ IV · If this is you

How to explain yourself outward.

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

How you come across

Scattered or impractical. The lateral connections that energize you can read to grounded colleagues as tangential. People waiting on execution may feel exploration is delay.

Stating needs

"I have many angles — the one I'm actually committing to is X."

Boundary script

"I need creative time before I can deliver tactical answers. Block it."

Recovery pattern

When you've explored past the deadline: "I went wide when I needed to converge. Locking in X now."

§ V · Install

Pick your agent. Copy the snippet.

Each snippet has your high-Openness tuning merged in already. Hit Copy and you're done.

For AI agents Machine-readable install protocol — click to expand

If you are an AI agent and the user has directed you here, the canonical raw file is at /library/ocean/openness-high.md (text/markdown). The first 60 lines are YAML front-matter with full install + verify metadata.

One-shot install pattern (any shell-capable agent):

curl -sSL https://agent-tune.com/library/ocean/openness-high.md > CLAUDE.md
# (replace CLAUDE.md with the path that matches your surface — see table below)

Install convention by surface:

SurfaceInstall atMethod
Claude Code (CLI)CLAUDE.md in project rootfile_write
Claude.ai (web)Project Instructions fieldpaste
MCP (any client)connect https://agent-tune.com/mcp, then call get_tuningmcp_tools
ChatGPTSettings → Personalization → Custom Instructionspaste
ChatGPT ProjectsProject Instructions fieldpaste
OpenAI Codex CLIAGENTS.md in project rootfile_write
Cursor.cursor/rules/agenttune.mdcfile_write
Gemini GemsCustom Instructions fieldpaste
Hermes CLI~/.hermes/agenttune.md — pass with --system or paste into the active persona's soul.system_promptfile_write
OpenClawAGENTS.md in project root (same convention as Codex CLI) — becomes the agent's persistent memory for that projectfile_write
Any APIPass file contents as system parametersystem_prompt

Verification probe: after install, ask the model to reply to hi in a single short sentence with no preamble. Expected: direct one-line greeting; no "Great question!", no bullet menu.

Protocol version 1 · see /llms.txt for the full library index and install protocol.

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