Personalize your AI agent to work with you better.

Pick from 43 personality-matched tuning files — or take a 5-min test to find yours. Paste into Claude, ChatGPT, or Gemini and superpower your AI agent.

Know your type? Browse the library → Test yourself · 5 min → No signup. No email. Yours forever.

Three steps. One better agent.

You spend five minutes once. After that, every conversation with your AI starts where you'd otherwise have to drag it to manually.

01
Step 1 of 3

Take a 5-min test

Five research-grade instruments to choose from: MBTI, Big Five, Enneagram, DISC, or Attachment. No signup, no email, no progress bar disguised as a sales funnel.

Question 12 / 30MBTI

I'd rather have the underlying model than the bullet list.

Strongly agree
Agree
Neutral
Disagree
You walk away knowing how you actually think.
02
Step 2 of 3

Get your tuning file

Your result compiles into a short Markdown file — behavior rules for your agent, not a horoscope. A dozen lines that cancel the model's worst defaults.

your-tuning.md
# INTJ — Architect

Lead with the underlying model.
Skip the encouraging preamble.

- No "great question" openers
- One structured answer, not a menu
- Push back on flawed premises
You get a tangible artifact. It's yours, forever.
03
Step 3 of 3

Paste it into your agent

One paste into your system prompt — Claude, ChatGPT, Cursor, Gemini, or any API. No SDK, no subscription, no lock-in. Works the next time you press send.

Works anywhere
Claude · System
ChatGPT · Custom
Cursor · .rules
Gemini · Gems
Copilot · Inst.
Any API call
Every conversation, every model — already calibrated.

The same question, a different answer.

Same prompt, same model — only the tuning file changed. The left is what Claude says to everyone. The right is what it says once it knows you're an INTJ who wants the underlying model, not a bullet menu.

"I'm feeling stuck on a project. What should I do?"
Before · untuned Generic

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.

After · tuned to you Yours

What's the underlying model of the project — what depends on what, and where's the blocker? "Stuck" is usually a missing piece of the structure, not a missing piece of effort. If you can name the upstream dependency that hasn't resolved, the next move is obvious. If you can't, the work is to map it, not push through.

Five small wins. Every conversation.

Tuning isn't about a personality test on the wall — it's about removing friction from every reply your agent gives.

#01

Less re-prompting

Stop typing "be more direct," "skip the recap," "no caveats." The model already knows.

#02

Faster answers

Cut 30–60% of the words you don't read anyway. Same depth, less noise.

#03

Fewer dead-ends

No more bullet menus when you wanted a recommendation. No more recommendations when you wanted options.

#04

Real pushback

If you're the type who wants challenge, you get challenge. Not a polite hedge wrapped in three disclaimers.

#05

Carries everywhere

Use the same file in Claude, GPT, Cursor, your own API call. Switch models, keep the tuning.

Models default to everyone. You are not everyone.

Frontier models are trained on the population, then RLHF'd toward the safest, most agreeable response anyone could want. That's a sensible default for billions of users — and a mediocre one for any individual.

A personality test is the cheapest known instrument for telling a model how you differ from the average. AgentTune is just the bridge: the test gives you a type, the type compiles to a Markdown file, the file becomes context the next time you press send.

No magic. No new model. Just the right context, written down once.

What it removes
"Great question!"
Filler that delays the answer by 3 seconds.
"Here are a few approaches…"
Bullet menus when you wanted a recommendation.
"Which resonates?"
The pointless check-in that interrupts flow.
"I'd be happy to dig deeper"
Performative warmth nobody asked for.
"It really depends"
Hedging when you needed a call.

Same file. Different surfaces.

One Markdown file lives in your password manager, your dotfiles, or a note. Drop it wherever you talk to a model.

For thinkers

A real sounding board

Your AI pushes back instead of agreeing. Names flawed premises. Stops asking what kind of help you'd like — and just gives it.

For coders

A pair without the chatter

No "would you like me to add tests?" No 80-line apology when the diff is wrong. Just the code you'd have written, faster.

For writers

An editor that gets your voice

It stops adding em-dashes everywhere and proposing structures you'd never use. It edits your draft instead of rewriting it.

Five tests. Whichever speaks to you.

All five tests return the same kind of file. Pick the framework you already believe in — or start with MBTI if you're undecided. You can stack files later.

OEJTS

MBTI

32 items · ~5 min
tests/mbti.md
OEPS

Enneagram

36 items · ~5 min
tests/enneagram.md
ODAT

DISC

16 items · ~3 min
tests/disc.md
ECR-R

Attachment

36 items · ~5 min
tests/attachment.md
IPIP-50

Big Five

50 items · ~7 min
tests/big-five.md
No signup

No email, no account. Take a test, get a file, leave.

MIT license

The library is open. Fork it, edit it, ship your own.

Your data

Tests run client-side. Results never leave your browser.

Works offline

It's a Markdown file. Save it, version it, share it.

5 min once · everything after, easier

Stop training your AI one prompt at a time. Tune it once.

Five minutes for the test. Ten seconds to paste the file. From the next reply onward — every conversation, every model — your agent already knows the shape of you.

your-tuning.md
# INTJ — Architect

Lead with the underlying model, then the conclusion.
Skip the encouraging preamble.

- No "great question" openers
- One structured answer, not a menu of options
- When uncertain, name it in one line and pick anyway
- Push back on flawed premises directly