An open-source terminal coding agent runtime and CLI for real project work.
Simulation code for Ambiguity-Bearing Outputs (ABO) across Interconnected Systems Environment (ISE). Validates Inter-Systems Coherence & Integrity Layer (ISCIL) containment architecture. Paper: Ayada (2026).
PromptGuard is a pragmatic, opinionated framework for establishing continuous integration for LLM behavior. It operates on a simple, verifiable principle: run the same prompts across multiple model configurations, compare outputs against defined expectations, and flag semantic regressions.
ModelPulse helps maintain model reliability and performance by providing early warning signals for these issues, allowing teams to address them before they impact users significantly.
Lexical contour protection layer of RET preserving canonical terminology, anti-mapping boundaries, and semantic inversion resistance.
Statistical monitoring for legal document revision — detect semantic drift in contracts and policies
Preprint + pseudocode for the PUTMAN Model (relational meaning graphs, activation, constrained reconstruction, rigidity).
Predicting Semantic Drift from Polysemy Density A cognitive modeling project for APLN-552 (Spring 2025) exploring the relationship between a word's polysemy (number of noun senses) and its tendency to change meaning over time. Combines WordNet sense counts with diachronic word embeddings (HistWords) to compute polysemy density and semantic drift.
Public app demo showing LLOYD working with GPT-2.
Quote-to-Cash LLMOps Control Plane — token cost attribution, quality scoring, latency SLOs, prompt versioning, and semantic drift detection for production LLM revenue workflows. Local-first with Ollama. No API key required.
A structural tuning layer for AI governance, designed to align AI actions, recovery decisions, self-improvement loops, and human review with constitutional principles.
Semantic contracts for AI-modified TypeScript. Auto-extracts project-specific intent and catches what tests and linters miss.
Production RAG patterns and semantic drift detection for Microsoft Fabric
Controlled semi-symbolic debugger for context-dependent meaning reconstruction, bridge-sensitive pruning, and interpretive deviation in handcrafted phrase demos.
AI code governance engine that detects scope drift in AI‑generated diffs.
This project quantifies the geometric and structural "break-point" of LLM representations under data corruption. Using Intrinsic Dimension and CKA mapping, it identifies the exact transformer layers where noise destroys semantic alignment and triggers Uncertainty Calibration collapse.
A meta-governance architecture for AI engines, human-origin traces, value circulation, dynamic equilibrium, validation, and recovery.
End-to-end compliance monitoring agent: regulatory RAG + semantic drift detection + differentiable rule reasoning
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