Most AI tools optimize for answer generation. This exploration focuses on reasoning integrity instead.
Designed and built as an independent systems exploration.
Take a look at the gallery slideshow above of the exploration.
These screenshots show the core parts of the system. Each layer captures, evaluates, and tracks how decisions evolve over time.
PRODUCTION
READY
CODE
Fully shippable and not just a silly UI wrapper. Above are snapshots of the scoring logic and decision schema.
This is a JavaScript-based web application with three AI-powered engines using regex pattern matching and weighted scoring algorithms (0-10 scale) that analyze ownership, metrics, assumptions, and detect 5 cognitive biases in decision-making. The prototype features vanilla JavaScript with AWS Cloudscape components, processes decisions in under 2 seconds, includes file upload via FileReader API, and outputs structured JSON.
Created with Visual Studio Code + Cline CLI + design strategy + raw front end knowledge.
— PROJECT NAME
Decision Intelligence: Reasoning Architecture
— ROLE
Product Architect/Systems Designer
— DATE
2026
A systems exploration focused on measurable decision quality. The prototype structures unformatted input into decision objects, applies integrity scoring, models counterfactual scenarios, and surfaces longitudinal reasoning patterns.
Built to investigate how AI can augment judgment, not just output.