# VOID TECHNOLOGY

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Takuro Tsujikawa](https://cerebralvalley.ai/u/takurot)
- **GitHub:** https://github.com/takurot/misologist
- **Demo video:** https://www.youtube.com/shorts/qFmees4hxd8
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/9

Project Description
Misologist is an AI fermentation assistant for home miso makers, small breweries, and fermentation researchers. It helps users diagnose risky batches from  photos, monitor fermentation over time, and translate traditional craft intuition into clear scientific explanations. Using Claude for vision, reasoning,  and long-context synthesis, Misologist can explain whether a batch is safe, what likely went wrong, what action to take next, and how conditions across  time affect the final result. It also helps users design recipes from target flavor goals, turning “I want a sweeter, less acidic miso” into practical  fermentation parameters.

Problem It Solves
Miso fermentation is slow, high-stakes, and hard to debug. A single batch can take months, and if something goes wrong, the loss is often irreversible. At the same time, much of the best fermentation knowledge still lives in tacit craft wisdom rather than structured, accessible guidance. Misologist solves both problems: it reduces batch failure by giving timely, explainable diagnosis and next-step recommendations, and it preserves expert know-how by converting traditional rules of thumb into explicit fermentation science that more people can use.

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