From e8e53f9508c8e8ae26cc18c0fd68cf4971053480 Mon Sep 17 00:00:00 2001 From: kasun Date: Wed, 18 Mar 2026 04:11:45 +0100 Subject: [PATCH] changed format --- docs/01-Planning/01-Technical-preparation-for-docs.md | 2 +- docs/01-Planning/02-Product-and-technical-vision.md | 4 ++-- docs/01-Planning/03-Project-goals.md | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/01-Planning/01-Technical-preparation-for-docs.md b/docs/01-Planning/01-Technical-preparation-for-docs.md index 3d06e81..3d2a927 100644 --- a/docs/01-Planning/01-Technical-preparation-for-docs.md +++ b/docs/01-Planning/01-Technical-preparation-for-docs.md @@ -1,4 +1,4 @@ -Vassal: Technical preparation for adding documentation +**Vassal: Technical preparation for adding documentation** Before documenting all my research for the planning phase of the app there are several technical preparations to arrange: diff --git a/docs/01-Planning/02-Product-and-technical-vision.md b/docs/01-Planning/02-Product-and-technical-vision.md index b7a5bd0..3e34931 100644 --- a/docs/01-Planning/02-Product-and-technical-vision.md +++ b/docs/01-Planning/02-Product-and-technical-vision.md @@ -1,4 +1,4 @@ -Vassal: Product and technical vision +**Vassal: Product and technical vision** # Product vision Vassal is an AI-powered bridge designed to connect physical reality to digital management systems. It functions as an intelligent intermediary that performs image analysis and semantic search, enriching raw data before "serving" it to a primary application via REST API. @@ -35,7 +35,7 @@ Example: Searching for "tool to tighten a bolt" will return a "Wrench," even if Process: The search prompt is converted into a vector by the AI, and Postgres performs a "Cosine Similarity" check to find the closest matches in the staging or history tables. ## Image processing workflow (Start to Finish) -The image processing is the heart of Vassal’s "bridge" functionality. It ensures data quality before it reaches your primary app. +The image processing is the heart of Vassal's "bridge" functionality. It ensures data quality before it reaches your primary app. - Ingestion: When a photo is uploaded, the raw image and its initial metadata are saved into a temporary staging table in Postgres. diff --git a/docs/01-Planning/03-Project-goals.md b/docs/01-Planning/03-Project-goals.md index 1513223..3eeb462 100644 --- a/docs/01-Planning/03-Project-goals.md +++ b/docs/01-Planning/03-Project-goals.md @@ -1,4 +1,4 @@ - Vassal: Project Goals + **Vassal: Project Goals** # Primary Objective