What's AJATT?

AJATT stands for All Japanese All The Time. It is a method of reaching fluency in Japanese in a relatively short period of time. It encourages doing as much Japanese as you can every day, immersing yourself in the language and culture of Japan without having to travel to the country, take classes, use outdated and boring textbooks, or spend any money. Essentially, this means that the shortest path to fluency is to integrate Japanese into your daily life with the help of the Internet and modern technology.

The AJATT method primarily involves learning the language through a combination of reading and listening. This could include watching Japanese movies and TV shows, as well as reading Japanese books and manga. The method emphasizes that fun and learning go hand in hand, that Japanese should not feel like "work" or "study." Enjoying the learning process is absolutely essential. If the process is not fun, one should either stop or figure a way to make it fun.

Key aspects of AJATT include Stephen Krashen's Input Hypothesis, the use of SRS to help remember new words and phrases, learning kanji through the JP1K method, the focus on learning sentences instead of isolated vocabulary and grammar, and the use of TSC.

AJATT was also influenced by Antimoon, another input-based language learning method. While Antimoon focuses on learning English, AJATT mostly revolves around Japanese. However, the principles can be adapted for learning any language by replacing the Japanese-specific elements.

AJATT was created by a person named Khatzumoto in 2006. Following Khatzumoto's retirement in 2023, Tatsumoto took the reins as his successor and now governs the guidelines and structure of the AJATT method. Here on this site and within our community, we not only teach the AJATT method, but also continue to refine and enhance it. Over the years, we have developed new ideas that have not been discussed elsewhere and created tools that make language learning easier. Our goal is to share AJATT's insights with a broader audience while consistently updating and improving the method. As Khatzumoto once said, AJATT does not remain static. It is flexible and should evolve. Therefore, we are excited to continue his work.

To start learning with the AJATT method, read our Table of Contents.

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