Initial release

README.md

@@ -29,8 +29,9 @@ more powerful for people.
 Paraphrasing a movie line is my favorite approach to learn a foreign language. This was why I was able to speak
 close-native English in early days. I used this same tactic for German. One morning I was studying German with the
 famous German WW2 movie [_Generation War_](https://youtu.be/TmyGPX23px4?si=wk3V62vLUe9zFzfo). Managing to find its
-subtitles[^1][^2][^3] are easy for me. A problem soon arose as I proceed with them: _the subtitles had errors_ - missing
-phrases every few other lines. In old days 10 years ago, I would've reached a dead end. 
+subtitles[^1][^2][^3] were easy for me. A problem, however, soon arose as I proceed with them: _the subtitles had
+errors - missing couple of phrases every few other lines_. This is a big NO for language learners like me. In old days
+10 years ago, I would've reached a dead end. 
 
 [^1]: https://www.opensubtitles.org/en/subtitles/6243166/generation-war-eine-andere-zeit-de
 [^2]: https://www.opensubtitles.org/en/subtitles/6243167/generation-war-ein-anderer-krieg-de
@@ -41,8 +42,8 @@ Almost immediately, I had this idea of having AI figure out those missing words
 This marked the milestone where AI produced real value for my life.
 
 Feeling so excited, I decided to industrialize this process and hereby present it as
-[Project Tiger on Hugging Face](https://huggingface.co/spaces/QubitPi/tiger), a transcription service that targets
-specifically for language learners
+[Project Tiger on Hugging Face](https://huggingface.co/spaces/QubitPi/tiger), an __AI transcription service that targets
+specifically for language learners__
 
 > [!NOTE]
 >