diff --git a/Design.md b/Design.md
index b320688..b73a13f 100644
--- a/Design.md
+++ b/Design.md
@@ -3,34 +3,34 @@ The purpose of this document is to align on the initial design of Reply-O-Meter.
 ## Overview
 The following is a product-oriented view of all the stages that need to happen in the final V1 product:
 
-1. *Data Ingestions*
+*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.
+1. Ingest all of the raw data files. Photos of letters, postcards, and photos.
+2. Digitization: conversation of the data to a textual representation.
+3. Normalization: translation of all material to one internal language (e.g. English)
+4. Artifacts: creating Artifacts from joint raw material. Example: photos of person and the name/time from the photo's backside.
 
-2. *Data Processing*
+*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.
+1. Metadata (move to Ingestino?): for each Artifact, extract the Metadata on the Entities that it refers to, such as Person, Event, and Location
+2. Reconciliation: Create and/or Update existing Entities based on the information from the new Artifacts.
 
-3. *Browser*
+*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.
+1. Feedback: User may correct any of the Ingestion or Processing steps, which will retrigger the rest of the flow.
+2. Tuning: Will trigger model training/tuning if relevant.
 
-4. *Story Creator*
+*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.
+1. Chat Agent: User can chat with an Author to create stories based on the known Entities.
 
-5. *Graphic Artist*
+*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.
\ No newline at end of file
+1. People: Given a style, create visual representation for each Person across their life.
+2. Supporting Material: Gather maps of the Location and the relevant Events.
+3. Create a graphic novel based on the story.
\ No newline at end of file
diff --git a/README.md b/README.md
index ad4250f..4887b7b 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,3 @@
 # ReplyOMeter
 
-Please read the [PR-FAQ][PR-FAQ.md] document first.
+Please read the [PR-FAQ](PR-FAQ.md) document first.