Streamline policy evaluation workflows with AI-driven analysis and evaluation framework-agnostic processing
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Updated
Nov 13, 2025 - Jupyter Notebook
Streamline policy evaluation workflows with AI-driven analysis and evaluation framework-agnostic processing
MCP-first review and evidence-mapping harness for AI-generated and human-drafted deliverables.
Local-first Maine family-law research, record review, exact-source verification, and review-required drafting workbench.
Evidence-controlled crosswalk mapping selected AI governance requirements to publicly available ORYNTH architectural evidence.
Code for mapping clinical phenotype representation across GLP-1-based cardiometabolic outcome trials using NHANES and ClinicalTrials.gov/AACT.
Resume-job fit analysis agent with evidence mapping, rewrite suggestions, scoring, and a Streamlit UI.
Follow the mechanisms. Investigate money, power, and influence with an AI skill and an offline interactive evidence atlas.
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