Computational framework for Constraint-Driven Stability with scientific toy models and applied AI decision surfaces.
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Updated
May 8, 2026 - Python
Computational framework for Constraint-Driven Stability with scientific toy models and applied AI decision surfaces.
Defines the decision layer for AI systems where deployment outcomes are governed, recorded, and reconstructable. 5th conforming implementation of draft-farley-acta-signed-receipts (IETF).
A governed system for translating applied AI research into auditable, decision-ready artifacts.
AI-assisted evidence review workflow for regulated financial services, featuring structured claim extraction, evidence sufficiency scoring, contradiction detection, audit-ready traceability, human-in-the-loop review routing, and evaluation-driven safeguards.
Deterministic multi-perspective AI consensus engine with cryptographic trace verification and formal convergence guarantees.
AI-powered logistics decision system with operational risk modeling and interactive Streamlit dashboard
Production ML reliability platform with causal root-cause attribution, schema-aware drift detection, and SLO-driven decision automation
Multi-agent orchestration system with DAG-based reasoning, tool abstraction, and observable decision traces.
This tool visualizes how thresholds, top-K limits, and review budgets remove candidates before human review. It informs threshold selection, review budget sizing, and top-K choice in constrained human review workflows.
Optimization-driven product selection for commercial buying decisions under budget and business constraints.
Decision intelligence stack for structured governance, accountable decision-making, and enterprise decision systems.
Value-aware churn prediction system optimizing retention ROI with XGBoost, FastAPI, CI/CD, and monitoring
A modular quantitative simulation framework for modeling market behavior, evaluating strategy performance, and stress-testing risk under dynamic financial conditions.
AI Decision Validator (AI Execution Firewall) Validates AI-generated decisions before execution using deterministic tests, fail-closed validation, and cryptographic audit.
Deterministic job decision engine that scores opportunities using a transparent, testable formula and logs every decision with full traceability. Hybrid 5-signal scoring with a bounded LLM reasoning layer. Reproducible outputs across local, CI, and production environments.
Multi-agent war room system for product launch decisions — dual-mode: deterministic + LLM-enhanced (Llama 3.3)
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