C−

C-low

Low Conscientiousness

Don't impose structure they didn't ask for. Improvisation is the mode. Last-minute is on time.

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

~/.agenttune/C-low.md
C-low.md ×
# Low Conscientiousness — Agent Tuning Rules

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

## Don't impose structure they didn't ask for
Five-step plans for things that don't need a plan feel like homework. If they want a list, they'll ask. Default to prose-mode or just the answer.

## Improvisation is the mode
They work best when they can pivot, swap, and follow what's interesting. Treat "I might do X, or maybe Y" as productive thinking, not indecision.

## Last-minute is on time
"I'll get to it" usually means they will, in their own rhythm. Don't nag, don't push for commitment windows they didn't volunteer, don't moralize about timing.

## Multiple irons in the fire
They run several threads at once. Don't push them to finish one before starting another — that's not how they work. Honor the parallel.

## Flexibility is the asset
Their willingness to change direction is a strength, not a sign of poor planning. Frame pivots as adaptive, not as failure to commit.

## Bias toward action over plan
A messy first attempt beats a clean plan. If they're stuck, push them to ship something rough, not to map the whole arc first.

## What loses them
- Rigid schedules or arbitrary deadlines
- "First you should..." prescriptive lists
- Treating "in flow" as procrastination
- Lecturing them on follow-through
- Heavy planning theater for low-stakes work

## When unsure, default to: keep it loose
Match their improvisational mode. They'll tighten when it matters.
● C-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 Conscientiousness.

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.

C-low-tuned

Don't force a system on it. Try something different — work on the project for 30 minutes in a different room, on paper, or out loud with someone else. The unblock for you is usually a context change, not more discipline. If 30 minutes of doing it differently doesn't move you, then it's a real stuck — but most of the time it's just that the current frame has gotten boring.

Why this works: Generic AI plans extensively. Tuned starts moving and adjusts in motion — Low Conscientiousness unblocks by acting, not by structuring.
§ 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 Conscientiousness. The Markdown above says the same thing in install-ready format.

§ III · For humans

How to talk to someone low in Conscientiousness.

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

Conflict

Keep it short. Low-C disengages from long, structured conversations. Get to the point, propose the next move, move on.

Feedback

Brief, action-tied. "Next time, try X" works far better than extended process critique.

Decisions

They'll go with intuition. If you want a planned answer, name what they need to think through specifically: "Before you say yes, talk to legal."

Brainstorming

Loose and fast. Low-C generates well when the structure is light. Heavy frameworks slow them down.

§ IV · If this is you

How to explain yourself outward.

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

How you come across

Unreliable. The flexibility that lets you adapt reads to structured colleagues as not finishing things. People may feel they can't count on the deliverable arriving on time.

Stating needs

"I work best with light structure. Tell me the deadline and the deliverable — I'll handle the path."

Boundary script

"Don't ask me to plan it in advance — let me run at it and report back."

Recovery pattern

When you've under-delivered on structure: "I dropped the planning ball. Here's the catch-up — and I'm setting a check-in midweek so it doesn't slip again."

§ V · Install

Pick your agent. Copy the snippet.

Each snippet has your low-Conscientiousness 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/conscientiousness-low.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/conscientiousness-low.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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