AI Portfolio

Operating artifacts built in code

Enablement & Teaching Prompt Engineering (O'Mono) New A reusable API-powered prompt-engineering application that exposes field-level rationale, functioning as embedded training and self-service enablement, endowing AI literacy that compounds and scales. Workflow decomposition and integration Workflow Automation: Conflicts Conflicts and new matter intake decomposed into nine steps across language, source-backed retrieval, legal judgment, and deterministic configuration, with provenance, confidentiality, supervision, adoption, and measurement built into the design. Live tool AI Governance Operating Model A configurable AI governance operating model. Includes risk classification, review gates, intake, model registry, vendor diligence, escalation, and regulatory overlays. AI governance as a strategic enabler The Authority A legal AI governance case study on why models cannot certify themselves. The record moves through self-review failure, release gates, bypass pressure, and the human layer that remains outside the model. Executive readiness AI Governance for Business Professionals The questions and vocabulary that decide whether AI output becomes action. U.S. and EU regimes, Mobley v. Workday, adverse impact, and the human release gate, mapped for business professionals with sourced authorities. Published system Legal Reasoning as a Strategic Asset Interactive article on the productization of legal reasoning, authority selection, and practitioner judgment as an asset class. Regulatory tracking AI Governance: the EU AI Act Digital Omnibus reading with the in-force stack, pre-2027 operating obligations, and an interactive timeline of the Act in seven moves. Strategic brief Quantitative Finance Governance Brief Data analytical presentation for a quantitative finance environment, with regulatory risk exposure, governance strategy, and cost optimization.
Built stack Practitioner-built Code This site, the data pipelines behind the studies, and the interactive components inside the articles, built directly in Python, HTML, CSS, and Markdown.
Internal system Program-scale Reporting Automated reporting infrastructure for program health, cost leakage, and pathway eligibility at portfolio level.
Internal system AI-augmented Case Research Research pipelines for precedents, response strategy, and comparison analysis, built for attorney review rather than generic retrieval.
Engagement work AI Reasoning Environment Design Multi-authority case narratives, ground-truth datasets, and grading rubrics for machine-evaluable federal administrative law reasoning.
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