Decision Intelligence: Reasoning Architecture
Most AI tools optimize for answer generation. This system evaluates how decisions are structured — tracking reasoning integrity, detecting cognitive biases, and predicting how decisions hold up over time.
This isn't a dashboard that visualizes data someone else computed. It's a complete reasoning engine: three AI-powered scoring modules, five cognitive bias detectors, temporal integrity prediction, counterfactual scenario modeling, and a persistent decision archive that learns your patterns over time. Designed, architected, and engineered entirely by me.
Full walkthrough of the Decision Intelligence system.
Three integrated modules: Decision Archive (pattern learning), Decision OS (quick analysis), and Deep Analysis (bias detection + 5-year predictions).
The System
The core interface tracks every decision you feed it — scoring integrity on a 0–10 scale by evaluating ownership, success metrics, documented assumptions, and cognitive bias risk. It doesn't just tell you a decision is weak. It tells you exactly why and what to do about it.
Personal dashboard: 5 decisions tracked, 5.8/10 average integrity, 7 days of tracking. Real-time insights surface patterns as you use it.
Analysis results: each decision scored for integrity, classified by type, and assessed for bias risk. Filterable, searchable, actionable.
Decision Depth
Open any decision and the system surfaces everything you need: integrity breakdown, dependencies, recommended next steps with severity tags, confidence-to-evidence ratios, and counterfactual scenarios that model what happens if you go a different direction.
Decision detail: integrity breakdown flags missing ownership, metrics, assumptions, and critical issues. Next steps are prioritized by severity.
Counterfactual modeling: Status Quo (35% probability better), Opposite Direction (25%), Delay 6 Months — each with explicit tradeoff analysis.
Temporal Prediction
The system doesn't just evaluate decisions at the moment they're made. It projects how they'll hold up over time — 6 months, 1 year, 3 years, 5 years — with confidence intervals that decay as assumptions age and owners change.
Temporal integrity predictions: this decision degrades from 1.9/10 at 6 months to 1/10 at 3 years. The system flags why — owner turnover risk, assumption invalidation.
Cognitive Fingerprint
Over time, the system builds a profile of how you make decisions. Where you consistently skip ownership. Where you forget to define metrics. Whether your quality trend is improving or declining. It's a mirror for your reasoning patterns — backed by data, not intuition.
Your Cognitive Fingerprint: 40% clear ownership, 60% metrics defined, improving quality trend, very active decision pace.
Production Code
This is a fully shippable JavaScript application — not a mockup, not a prototype, not a UI wrapper over someone else's API. Three scoring engines. Five cognitive bias detectors. Incentive conflict mapping across stakeholder groups. Processing time under 2 seconds per decision. Structured JSON output. All running client-side in vanilla JavaScript. Implementation details available on request.