Coffee | One Roast at a Time — Field Guide

Coffee Processing Explorer

Decode coffee processing labels into calmer, more useful technical interpretation.

This tool is designed to help people move from bag-label language toward clearer process understanding. It is not trying to turn every coffee label into a guarantee. It is trying to make the underlying process more legible than typical coffee marketing does.

Beta

Start where you are

This explorer is built as a field guide, not a verdict machine. Choose the doorway that matches what you need today.

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Understand the process path

Use the journey map to see where a method becomes meaningfully different.

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Decode a label

Translate a process name into a calmer technical interpretation and better follow-up questions.

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Compare two methods

See where two labels overlap, diverge, and leave important questions unanswered.

See ORAT examples

Follow how process shows up in ORAT’s own roasting context without pretending it explains the whole cup.

On this page
Section 1

Processing journey map

From ripe cherry to green coffee. Each process represents a set of decisions — about infrastructure, skill, climate, labour, and intention. Select a process below to see what happens at each stage, what it may suggest, and what it does not guarantee.


Section 2

Decode a coffee label

Type what's on your coffee bag. This tool will try to identify the origin, variety, process, and decaf method — and flag what each element does and does not tell you.

Try:

Prototype decoder — keyword coverage is limited. Origin, variety, and process terms are matched against a growing list. Expand data/processes.js to add more.


Section 3

Compare two processes

Select any two processing methods to see a side-by-side breakdown of what happens, what it may suggest, and what it does not guarantee. No process is presented as superior. Execution, origin, variety, drying, and roast approach all shape the cup alongside process.


Section 4

Processing myths worth knowing

Some processing shorthand has become so common that it shapes expectations before the coffee is even tasted. These are practical corrections — not coffee snobbery. They are here because inaccurate expectations make it harder to assess what is actually in the cup.


Section 5 — ORAT Roasted Examples

ORAT roasted examples

Coffees ORAT has roasted on the Gene Café CBR-301, organised by process. These are placeholders until connected to the Green Bean Ledger.

Placeholder note: These examples are placeholders pending connection to the Green Bean Ledger (v0.1.57+). Each roast record in the Ledger carries its process field, which will populate this section automatically. Weight loss %, roast duration, and cup observations will be linked here when the integration is built. The confidence level for ORAT observations will shift from "developing" or "placeholder" to recorded observations as real data is added.