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Behind the toolOct 30, 2026 · 6 min read

How we build a record for every ferment

How the Fermentation Atlas finds sources, turns them into one record per ferment, checks every number, and draws each step from the record.

By Khine1,219 words→ Fermentation Atlas
How a ferment becomes an atlas page, in four steps. 1, find sources: specifications, standards, recipes, studies, theses and archives in many languages. 2, write the record: one file per ferment, each number kept in its source's words with its range, unit, label and source. 3, check it: links and DOIs looked up, a validator, values checked by hand, and safety values need an authority. 4, draw it: one change per step from a closed list of 20, drawn from the record. Entries without enough sourced detail stay as rows on their kind and region pages.

A fermentation recipe online is usually one person’s write-up. It might be good. It might be copied from another site that copied it from a third. The Fermentation Atlas is built differently. Every ferment in it, from yogurt to fish sauce, is a single record made the same way: find the sources, write the record, check it, then draw it.

This post walks through those four steps, using lahpet, Myanmar’s fermented tea leaf, as the example.

1. Find the sources

The research started with a simple goal: every documented ferment, however small the difference. Regional variants, family recipes and ferments known only from old texts each get their own entry, with a line saying exactly how they differ.

AI research assistants do the searching and reading, in many languages. They look for sources in this order of preference:

  • Specifications and standards: protected-origin rules (PDO, PGI), Codex and national standards.
  • Tested recipes: food-safety agencies and university extension services.
  • Research: peer-reviewed studies, theses and archives.

Encyclopedias are used only as an outline. They are never the only source for a number on a full page.

2. Write the record

Each ferment is one file. Lahpet’s is lahpet.yaml. It holds the names (including လက်ဖက် in Burmese), the region and people, the ingredients, the microbes, and then the steps.

Every number in a step is stored the same way. Here is the pit step’s time:

duration:
  text: At least 20 days and up to a year or more, depending on demand
  ev: sourced
  unit: h
  min: 480
  max: 8760
  src: [thar2016, kham2024]

Each field has a job:

  • text keeps the number in the source’s own words. “At least” and “up to” stay in, because they change what the number means.
  • min and max are the range parsed from that text, so ferments can be compared. Durations are stored in hours, with fixed conversions: 1 day is 24 hours, 1 month is 730, and 1 year is 8,760.
  • ev is the evidence label you see on the page: Measured, Set, Reported or Typical.
  • src points to the sources listed at the bottom of the record.

A change within one step is stored as a start and an end. A pH that falls from 6.6 to 4.2 is one value with an end, never a range of 4.2–6.6. A salt value also records what it’s a percent of, such as “of cabbage weight” or “of the brine”.

Microbes are split into three lists: the ones doing the fermenting, the ones that are also present, and hazards. Pathogens such as Listeria or Clostridium always go under hazards, never under fermenters.

3. Check it

The rules for writing a record are strict:

  • Every number must appear in the source cited for it.
  • If only a study’s abstract was read, the citation says “(abstract)”, and every number taken from it must be in that abstract.
  • Nothing is cited that wasn’t opened: no DOI, URL, title or author from memory.
  • If a number comes from a nearby product, such as a sister cheese or a lab version made with pasteurised milk, the text says so.
  • Any value that sets a safety limit, such as the starting pH or the salt for fish, needs a food-safety authority or a peer-reviewed safety study as its source.

Then the checks run:

  • A validator reads every record. It checks units and ranges, and that each temperature, salt and pH number appears in the text stored with it.
  • Every DOI, PubMed Central id and link is looked up to confirm that it exists and matches the citation.
  • Samples of values are checked by hand against their sources. Research is done in waves, and each wave is audited before it is published.

Which entries get a page

Not every ferment has enough published detail for a full page. An entry gets its own page when it’s curated, or when it clears a page bar:

  • at least three steps of its own, with numbers on at least two of them,
  • a sourced time on one step, and a sourced temperature, salt or pH on another,
  • two or more sources, with a primary source behind at least one of its own numbers.

An entry that doesn’t clear the bar isn’t hidden. It appears in full as a row on its kind and region pages, with the numbers it has and their sources. If a real search finds no source for a number, the number is left out, not stretched or guessed. The entry gets its page once its sources give enough.

4. Draw it

Each step in a record also says what to draw. Lahpet’s pit step includes these fields:

caption: Weighted with no air, the leaf sours and turns from green to golden-green
change: compact
scene_vessel: pit

change is the one visible thing that happens in the step. It comes from a closed list of 20, such as:

  • cut: shredding cabbage, cutting curd
  • diffuse: salt moving into the food
  • gas: bubbles rising
  • grow: a mould or rind spreading
  • compact: a weight pressing down
  • age: slow change over time

A closed list keeps every scene readable and comparable. Each step shows one change, never five at once. scene_vessel picks the main object from a fixed set, from a jar or crock to a pit, cave, gourd or banana-leaf parcel. caption names the change in one plain line.

The scene is then drawn from the record. The vessel, the contents and their colours, the change, the step’s numbers and a lens showing the microbes all come from the data. The lens draws microbe shapes, not counts, and says so. The lines have a hand-drawn look, and each scene is seeded from its record, so it is drawn the same way every time.

The atlas scene for lahpet's pit step: tea leaves packed in a lined pit under stones and a wooden rack, with arrows pressing down, a lens labelled lactic acid bacteria, a thermometer at 30 °C and a pH tag of 4.4 to 7.1.
Lahpet's pit step, drawn from the record above: change "compact", vessel "pit", 30 °C and pH 4.35–7.11.

Two checks run on the drawings:

  • An automatic audit renders every drawable step. It looks for labels that overlap or fall off the frame, contents a vessel can’t hold, and microbe names that don’t read as names.
  • A contact sheet puts many scenes on one page, so a person can review them by eye and catch what the audit can’t.

Each page also gets a poster: a still image of the step with the most visible change, for sharing links.

Still growing

The research continues in waves, starting with the ferments people look up most. Each wave is audited before it is published, and entries move from hub rows to full pages as their sources allow. If you find a value that doesn’t match its source, the method page says how to report it.

The atlas describes how ferments are made. It is not a food-safety guide. For home preserving, follow a tested recipe from a food-safety authority.

Open the Fermentation Atlas

References

  1. How this atlas is made — Loft Tools (accessed 2026-10-23)
  2. Lahpet, in the Fermentation Atlas — Loft Tools (accessed 2026-10-23)