An open-source terminal coding agent runtime and CLI for real project work.
7-layer RAG framework that eliminates semantic drift + context poisoning. Faithfulness 0.94 vs 0.71 Naive RAG. +13.6 EM on multi-hop QA.
Pre-spec steering layer for AI coding agents — capture product intent, invariants, and decision criteria before implementation, hand off to spec-driven workflows, observe intent drift (warn-only), and write learnings back to keep intent and code aligned.
Claim-path debugger for cross-domain drift: finds where a claim keeps holding on both sides of a transition while quietly ceasing to mean the same thing. Governance front-end for the type/trope/sortal claim checker.
Simulation code for Ambiguity-Bearing Outputs (ABO) across Interconnected Systems Environment (ISE). Validates Inter-Systems Coherence & Integrity Layer (ISCIL) containment architecture. Paper: Ayada (2026).
Measuring Semantic Drift in Multilingual LLM-Generated Clinical Trial Explanations: A Reliability Framework
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.
MCP server + toolkit for the geometry of meaning — semantic drift, trajectory dynamics, and axis-alignment analysis over text embeddings (NV-Embed-v2 / GGUF backends).
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.
Code and data manifest for semantic drift in Portuguese financial disclosures
Research proposal and pilot study on detecting temporal behavioral drift in Model Context Protocol (MCP) tool descriptions.
Statistical monitoring for legal document revision — detect semantic drift in contracts and policies
AI code governance engine that detects scope drift in AI‑generated diffs.
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.
Lexical contour protection layer of RET preserving canonical terminology, anti-mapping boundaries, and semantic inversion resistance.
Detects when a metric's DEFINITION changes and finds every dashboard that silently inherited the new meaning. DataHub agent — Build with DataHub hackathon.
Preprint + pseudocode for the PUTMAN Model (relational meaning graphs, activation, constrained reconstruction, rigidity).
Semantic contracts for AI-modified TypeScript. Auto-extracts project-specific intent and catches what tests and linters miss.
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