INTJ provides downloadable personality‑matched tuning files that customize large language model agents such as Claude, ChatGPT, Gemini, and others. Users complete a five‑minute test based on frameworks like MBTI or Big Five, receive a short Markdown file with behavior rules, and paste it into the model’s system prompt to make the agent consistently align with their preferred communication style. The service requires no signup, SDK, or ongoing subscription.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents like Claude, ChatGPT, and Gemini default to a generic interaction style that often misaligns with individual users’ thinking patterns, leading to unnecessary re‑prompting, verbose answers, and reduced productivity.
Solution
AgentTune provides a lightweight personalization workflow that translates a user’s personality profile—derived from a five‑minute assessment using MBTI, Big Five, Enneagram, DISC, or Attachment—into a concise Markdown tuning file. This file contains a dozen behavior rules that can be pasted directly into any model’s system prompt, instantly adjusting the agent’s response style to match the user’s cognitive preferences. The approach requires no SDK integration, no ongoing subscription, and works with any LLM that accepts a system prompt, including Claude, ChatGPT, Gemini, Cursor, and custom API calls. By embedding the user’s personality context once, every subsequent conversation becomes more focused, less noisy, and better aligned with the user’s expectations. A free tier offers 43 pre‑built tuning files, while a paid $9 one‑time option synthesizes results from all five instruments into a single master file with conflict resolution and detailed integration guides.
Target Audience
Primary users are individual professionals, developers, and teams who regularly interact with AI assistants and seek more efficient, personality‑aligned responses without committing to subscriptions or custom integrations.
Features
- Five‑minute, client‑side personality assessment using research‑grade instruments (MBTI, Big Five, Enneagram, DISC, Attachment)
- Automatic generation of a plain‑text Markdown tuning file containing ~12 behavior rules tailored to the user’s profile
- Paste‑ready snippets for 13 agent surfaces (Claude, ChatGPT, Cursor, Gemini, Codex CLI, etc.) with no SDK or API changes required
- Free library of 43 type‑matched tuning files under an MIT license; premium $9 option creates a synthesized master file with cross‑instrument conflict resolution
- Works with any LLM that accepts a system prompt, ensuring universal applicability across current and future models
- Fully offline for the free tier (no data collection); premium stores only minimal email and scored results for file delivery