The purpose of this document is to align on the initial design of Reply-O-Meter. Everything here is very early and likely to change.

## Overview
The following is a product-oriented view of all the stages that need to happen in the final V1 product:

1. *Data Ingestions*
Input: raw photos
Output: List of Artifacts that link the raw photo with a textual representation
    a. Ingest all of the raw data files. Photos of letters, postcards, and photos.
    b. Digitization: conversation of the data to a textual representation.
    c. Normalization: translation of all material to one internal language (e.g. English)
    d. Artifacts: creating Artifacts from joint raw material. Example: photos of person and the name/time from the photo's backside.

2. *Data Processing*
Input: List of Artifacts
Output: Graph of Entities (Person, Location, and Event)
    a. Metadata (move to Ingestino?): for each Artifact, extract the Metadata on the Entities that it refers to, such as Person, Event, and Location.
    b. Reconciliation: Create and/or Update existing Entities based on the information from the new Artifacts.

3. *Browser*
Input: Graph of Entities
Output: Updates to Artifacts and/or Entities
    a. Feedback: User may correct any of the Ingestion or Processing steps, which will retrigger the rest of the flow.
        i. Will trigger model training/tuning if relevant.

4. *Story Creator*
Input: Graph of Entities
Output: Story
    a. Chat Agent: User can chat with an Author to create stories based on the known Entities.

5. *Graphic Artist*
Input: Story, Graph of Entities
Output: Graphic Novel
    a. People: Given a style, create visual representation for each Person across their life.
    b. Supporting Material: Gather maps of the Location and the relevant Events.
    c. Create a graphic novel based on the story.