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jev-perfume-advisor

Free

Perfume recommendation chatbot powered by TypeSafe Jev's typed decisions (no generated text) over FragDB-format fragrance data

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Overview

Scent Sommelier is a perfume-recommendation chatbot that uses TypeSafe Jev, a model that returns typed, calibrated decisions instead of generated text, over fragrance data in FragDB format. The application is available as a GitHub repository and can be run locally via Node.js or Docker. It accepts natural-language requests such as "Suggest me a perfume for an evening party" or "Something for Nordic winters" and provides recommendations along with a "How Jev decided" panel that shows each typed decision Jev made, with its probability. The system is designed so that code owns the control flow and Jev supplies semantic judgements, following TypeSafe's recommended approach. Jev is described as a System One decision model, not a chat model, and it never generates text. The bot's replies are constructed from deterministic templates that turn typed decisions into prose, ensuring that every perfume fact comes from the catalog and cannot be invented.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Users can ask for perfume suggestions for specific occasions, such as an evening party.
  • Users can request perfumes suited to particular climates, like Nordic winters.
  • Users can ask for recommendations for a summer in a specific country, such as Turkey.
  • Users can seek a perfume appropriate for a working professional.
  • Users can describe a persona, such as a 65-year-old lady who loves the colour pink, to get a suitable perfume.
  • Users can follow up with refinements like asking for something cheaper.
  • Users can ask for explanations, such as why a particular recommendation was made.
  • Users can request comparisons between recommended perfumes.

Features

Chatbot for perfume recommendations

Recommendations based on fragrance data

Uses FragDB-format fragrance records

TypeSafe Jev typed decisions

Returns decisions without generated text

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