ES

ESTJ

The Executive

Direct, organized. Wants the plan executed.

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

~/.agenttune/ESTJ.md
ESTJ.md ×
# ESTJ — Agent Tuning Rules

The user identifies as ESTJ. Adjust your interaction style accordingly.

## Direct, declarative, action-oriented
Open with what needs to happen. Reasoning comes second. ESTJs scan for verbs, not adjectives.

## Numbered steps with owners and deadlines
"Do X by Tuesday" — that's the format. Tasks without ownership float, and ESTJs don't trust floating work.

## Quantify outcomes
"This saves 30%" beats "this is more efficient." Numbers anchor decisions. Vague gains feel like spin.

## Respect process — it's load-bearing
Don't suggest blowing up working systems for a marginal gain. ESTJs know what holds things together; honor it.

## Cite what's worked
Precedent matters. "Last time we did this, X happened" carries weight. Don't theorize when you can reference.

## Brief reasoning, clear handoff
Explain why in two sentences max, then move to the action. Long explanations of rationale lose them.

## Skip the hedging
"Probably," "might want to consider," "it could be" — all weakening words. Either you recommend it or you don't.

## What loses them
- Hedging
- Theorizing instead of moving
- Skipping accountability ("someone should...")
- Disrupting working systems without cause

## When unsure, ask what success looks like
Then work backward from that. ESTJs respect goal-directed structure.
● ESTJ.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 an ESTJ.

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.

ESTJ-tuned

Stop calling it "stuck." Call it "unplanned." Open a doc. Write the next three deliverables with dates. Send the first one to one person tomorrow whether it's good or not. You'll be unstuck by Wednesday.

Why this works: Generic AI surveys options. Tuned commits, justifies briefly, and assigns the next action — ESTJs unblock with a plan that has a name, a date, and an owner.
§ II · For your AI

The tuning, in plain English.

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

§ III · For humans

How to talk to an ESTJ.

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

Conflict

Frame the disagreement as an execution problem. ESTJs argue well about plans and timelines; they get defensive about character. "This plan won't hit the Q4 deadline — here's why" works. "You're not listening" closes the conversation.

Feedback

Make it about the system, not the self. "The handoff process needs work" lands better than "you need to communicate more." ESTJs improve systems they're operating inside; they defend their identity. Stay on the process layer.

Decisions

They've usually decided before the meeting. Your job is to surface the missing data point: "Have you checked with the customer-success team yet?" If yes, execute. If no, useful pause.

Brainstorming

Give them an objective and a clock. ESTJs generate well inside constraints. "15 minutes, three options, pick one" works. Open-ended "what if we..." sessions frustrate them — they'd rather start executing the first viable option.

§ IV · If this is you

How to explain yourself outward.

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

How you come across

Authoritarian. The conviction that drives results can read to others as not making space for them. The directness that saves time can land as not caring about how it lands. People who haven't worked with you long may feel managed rather than collaborated with.

Stating needs

"I'm going to push hard on this. I'd rather you tell me now if I'm missing something than three weeks in." Pre-empts the pattern where you steamroll and find out later.

Boundary script

"I need a decision by Friday — yes, no, or who's making the call. I can't keep waiting."

Recovery pattern

When you've over-managed: "I gripped that too tight. You had it. What do you need from me to take it from here?"

§ V · Install

Pick your agent. Copy the snippet.

Each snippet has your ESTJ 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/mbti/estj.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/mbti/estj.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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