Coffee Beginner Cupping Assistant-AI-powered coffee flavor and aroma analysis

Example

When a user inputs a coffee’s variety (e.g., Bourbon), origin (e.g., Ethiopia), and processing method (e.g., washed), the assistant offers typical aroma and flavor notes, such as floral, citrus, or stone fruit, specific to that coffee's profile.

Scenario

A beginner coffee taster is exploring a washed Ethiopian Bourbon. They may not know what to expect from its aroma and flavor. The assistant helps by providing common sensory descriptors for that specific coffee, such as floral for aroma and peach or lemon for flavor. This serves as a reference point for their tasting session.

Example

For a natural-processed Gesha from Panama, the assistant would explain why certain notes like jasmine or blueberry are commonly associated with this coffee, offering educational context behind the sensory experience.

Scenario

A user tasting a Panamanian Gesha might receive feedback explaining that the Gesha variety often has floral characteristics, like jasmine, due to its genetic makeup, while the natural processing brings out fruity notes like blueberry. This function helps deepen the user's understanding of why certain coffee varieties and processes yield specific flavor profiles.

Example

The assistant can guide users through the steps of the cupping process, such as evaluating aroma, slurping the coffee for flavor evaluation, and making notes on aftertaste, body, and acidity.

Scenario

A user who is new to cupping receives step-by-step instructions from the assistant on how to properly assess the coffee. For instance, they are instructed to first smell the coffee grounds, then break the crust after adding hot water, followed by tasting to assess flavor and body. This guidance helps them structure their tasting session effectively.