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Story
Atmospheric story of a girl who rummages through the rubbles of human civilization after the outbreak of a deadly epidemic, seemingly brought by mysterious monsters, in the search of remaining human life.
The beginning of the first volume is particularly light on text, favoring a more visually-driven narrative to introduce you to the world. However, the text density picks up after that, as she meets various robots, previously working for humans, during her exploration of the various districts of the city.
By interacting with those robots, she gets to learn more about the history of the place, and gradually we discover the various events that transpired and what life post-apocalypse is like. We see how those robots continue to faithfully carry out their tasks, in a world where one can rightfully wonder “what's the point?”
The story has a bit of bleak, and pensive tone with stints of hope, and an aura of mystery. What I personally disliked is that the chapters felt a little too episodic and could use a bit more action, but the contents of the 2nd volume hint at the development of a more concrete plot-line, so I'm curious to see what the author will come up in volume 3 (and later?).
Language
This is a good opportunity to practice your keigo comprehension and your katakana recognition skills. Depending on how sophisticated their speech synthesis engine is, computers/robots will either speak in hiragana+kanji or in katakana+kanji.
Furigana is very rare, and the vocabulary can go beyond the boundaries of typical daily-life stuff but it is quite restricted in scope and gets reused very frequently.
While reading, I didn't come across idioms, yojijukugo, cultural references, or onomatopoeia (unless you count the SFX), which I typically find challenging personally.
The writing is also very low in slangy-grammar and all characters so far speak without a dialect or weird speaking quirks (aside from the robot voice and keigo).
Occasionally, the scenes contain text (e.g. road signs, computer screens, ...) that is written in a heavily stylized font that is sometimes even degraded, which can be hard to read for learners and OCR engines alike.