Evidence, with citations.
Every claim on this site is anchored to a public repository, a merged pull request, a DOI, or a filing number. This page is the citation ledger. It is structured the way a procurement auditor would want to read it.
A summary ledger. The detail behind each row lives on its own page: open-source tools, upstream fixes, and peer-reviewable research. Patents are documented in full below, since this is their only home.
Eighteen reliability tools, public on GitHub
Roughly 130 GitHub stars across the flagship tools, and over 8,000 PyPI downloads to date across the five published to PyPI. Free to read, run, and audit before any conversation with us.
26 merged, including LangChain and Microsoft Semantic Kernel
Two of the merged pull requests removed runtime failures in the AI frameworks teams build on: a forced tool_choice crash in LangChain and a silent system-prompt deletion in Microsoft Semantic Kernel.
2 peer-reviewable papers, Zenodo DOIs
A taxonomy of epistemic failure modes, and a matched-vignette benchmark for null-result asymmetry. Built on 1,400+ controlled adversarial evaluations across frontier models.
1 non-provisional, 4 provisional
Stateless user identification, adversarial prompt-injection probing, deterministic local inference control, multi-modal classification calibration, and confidence-gated personalization.
Method for Stateless User Identification in Natural Language Processing
The non-provisional application; the provisionals below cover adjacent mechanisms for adversarial probing, deterministic inference, multi-modal classification calibration, and confidence-gated personalization.