A.E.G.I.S.

The Shield of Intent: Protecting the Cognitive Evolution of Design

Intent Preservation
Taxonomy Tracking
AI Enhanced Analysis

The sGIT Architecture

From coarse software commits to granular cognitive mapping.

Traditional "Software Git"

Coarse Granularity

Commits represent hours of work and end-states, missing the intermediate thought processes.

Loss of Context

Reverting a change means losing the entire block of code, instead of individual strokes of genius.

Evolution

SketchGit (sGIT)

800% Increase in Granularity

Stroke-Level Tracking

Every stroke, annotation, and constraint is tracked linearly. A.E.G.I.S documents the exact moment of cognitive decision, not just the final output.

Non-Destructive Iteration

Designers can navigate permutations infinitely. Branching off a single defining stroke allows for pure stylistic exploration without risking core structure.

LIVE_STREAM_ACTIVE

The 6-Dimensional Taxonomy

A comprehensive mapping of designer intent, categorized dynamically by the A.E.G.I.S engine.

Constraining
TYPE_01

Constraining

Structural boundaries mapping physical limits.

Defining
TYPE_02

Defining

Bold contours establishing the primary form.

Detailing
TYPE_03

Detailing

Intricate mechanical and surface details.

Shading
TYPE_04

Shading

Surface volumes depicted by stroke density.

Shadow
TYPE_05

Shadow

Occlusion and depth from cast shadows.

Annotation
TYPE_06

Annotation

Metadata and structural dimension notes.

DIMES Ecosystem Performance

Concept Exploration

160%

Increase in design variations generated and analyzed simultaneously without losing structural integrity.

Replication Accuracy

0.97

Cosine Similarity score demonstrating near-perfect replication of intent across architectural variations.