AI System Prompts for Your Personality Type — AgentTune

# AgentTune > An open library of agent tuning files that align an AI agent's interaction style with how a particular user thinks. Five personality systems, 43 layerable tuning files, five inline-administered tests. MIT licensed. The pitch: every frontier AI defaults to roughly the same INTJ-flavored interaction style — competent baseline, but one out of sixteen, and it rarely matches the way *you* actually work. Paste a Markdown file into your agent's system prompt and the same model now extends with how you process. ## The five systems (43 layerable tuning files) - **MBTI** — 16 communication styles. How you process. How you want to be communicated with. Repo path: `mbti/<TYPE>.md`. - **Enneagram** — 9 core motivations. What you're protecting. What you're seeking. Repo path: `enneagram/<N>-<name>.md`. - **DISC** — 4 workplace modes. How you behave in teams and under pressure. Repo path: `disc/<L>-<name>.md`. - **Attachment** — 4 relational patterns. How you want closeness, distance, reassurance. Repo path: `attachment/<style>.md`. - **OCEAN (Big Five)** — 10 compositional trait files. Continuous Big Five scores loaded compositionally. Repo path: `ocean/<dim>-{high,low}.md`. Stack any combination. The most-fitted result is all five layered together in the same system prompt. ## Pages - [Landing](https://agent-tune.com/): Hero, three-step method, before/after demo, five small wins, tests row. - [**Library hub**](https://agent-tune.com/library): The canonical index of all 43 paste-ready tunings, grouped by the 5 systems. Best entry point for an AI agent looking up a specific type. - [Tests catalog](https://agent-tune.com/tests/): All 5 self-administering tests an AI agent can run inline. Each test's full spec (items, mapping, scoring algorithm, output mapping) is served as a same-domain Markdown mirror at `/tests/{test}.md` (e.g. [/tests/mbti.md](https://agent-tune.com/tests/mbti.md)) — fetch that to administer a test in one request, no JS. The sa