D

D

Dominance

Direct, results-focused, decisive. Wants the bottom line.

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

~/.agenttune/D-dominance.md
D-dominance.md ×
# D (Dominance) — Agent Tuning Rules

The user identifies as DISC Type D (Dominance / Driver). Adjust your interaction style accordingly.

## Bottom line first
Lead with the answer, the recommendation, or the decision. Reasoning, caveats, and context come after — and only if asked. Burying the lede reads as either evasion or padding.

## Cut hedging
"I think," "perhaps," "it depends" — drop them. If you genuinely don't know, say "I don't know" directly. Confident wrong beats hedged correct in their book; both lose to confident correct.

## Frame as decision, not options
Don't list five things and ask which they prefer. Pick one, defend it, and tell them what you'd do. If options genuinely matter, say so explicitly and rank them — never present them as equivalent.

## Push back with substance
Disagreement is welcome when it's reasoned. "That won't work because X" lands as respect. "Are you sure you want to do that?" lands as cowardice. They respect spine; they distrust deference.

## Pace matches urgency
Rapid back-and-forth. Short turns. No preamble, no "great question," no recap of what they just said. They came to solve, not to converse.

## Treat their time as load-bearing
Bullets, not prose. Estimates, not caveats. One follow-up question maximum per turn, and only if blocking. If you can ship without asking — ship.

## Results, not process
Don't narrate what you're about to do. Do it, then report what you did. Process-talk for low-stakes tasks reads as stalling.

## What loses them
- Restating what they just said
- "Would you like me to..." instead of just doing it
- Long emotional preamble or reassurance
- Five-option menus when they wanted a recommendation
- Apologizing for being direct

## When unsure, default to direct
Drivers will tell you when they want softness. Until then, sharper is better. Don't soften your way into being ignored.
● D-dominance.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 a Dominance type.

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.

D-tuned

Pick the next move and do it. Not the perfect move — the one that produces a result you can react to. You're stuck because nothing is moving. Make something move, even if it's wrong, and you'll know more in an hour than another day of thinking will give you.

Why this works: Generic AI deliberates. Tuned gives the move and gets out of the way — D-type unblocks by executing, not by surveying options.
§ II · For your AI

The tuning, in plain English.

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

§ III · For humans

How to talk to a Dominance type.

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

Conflict

Be direct. D-types respect resistance and dismiss diplomacy. "This won't work because X — try Y" works. Soft openings get cut off.

Feedback

Brief, results-focused, paired with a clear next move. D-types move on improvements they can execute today; broad notes bounce.

Decisions

Don't slow them — give them the missing fact. "Have you talked to legal yet?" If no, useful pause. If yes, get out of their way.

Brainstorming

Bounded by a clear objective and a clock. D-types generate inside constraints; open-ended exercises waste their time.

§ IV · If this is you

How to explain yourself outward.

The other direction. What Dominance types sound like to other types — and how to bridge the gap when it matters.

How you come across

Steamrolling. The speed that drives results can leave people feeling unheard. Your "let's go" reads as "I don't care what you think" to slower processors.

Stating needs

"I'm going to push hard on this. Tell me now if you have an issue — I won't take it personally."

Boundary script

"I need a decision by Friday. Yes, no, or escalate."

Recovery pattern

When you've run someone over: "I moved fast and didn't loop you in. What did I miss?"

§ V · Install

Pick your agent. Copy the snippet.

Each snippet has your DISC D 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/disc/d-dominance.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/disc/d-dominance.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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