Case Studies & Tools
Frameworks and tools that help AI teams better understand and integrate human preferences into their systems. Real implementations, measurable results, open collaboration.
What I'm Building
- Preference Modeling Toolkit: Open-source library for context-aware preference capture
- AI Evaluation Dashboard: Tools for measuring human agency in AI systems
- Workflow Redesign Templates: Frameworks for AI-human collaboration patterns
Collaboration Focus
Open Source Development
Building tools that the entire AI community can use and improve
Industry Partnerships
Working with AI teams to validate frameworks in real production environments
Research Collaboration
Partnering with academic institutions on human-centered AI research
Completed Case Studies
Data Shapes a Model's Personality
How disagreement between AI experts revealed the subjective nature of "accuracy" and the opportunity to shape model personality through data curation strategies.
Human Preference Modeling Framework
A multi-dimensional system for capturing context-dependent human values in AI systems, moving beyond binary good/bad metrics to understand preference complexity.
Available Tools & Frameworks
Human-Centered AI Product Strategy
Comprehensive implementation guide
Complete strategic framework for building AI products that prioritize human empowerment. Includes 4 strategic pillars, 8-week implementation playbook, and industry best practices from Microsoft, McKinsey, and Stanford HAI.
AI Industry Transformation Analysis
Leadership insights and adoption patterns
Deep analysis of how AI is reshaping product development, team dynamics, and user expectations across the tech industry. Based on program management experience and industry leadership patterns.
Join the Development
I'm building these tools in the open, with industry partners and research collaborators. If you're working on human-centered AI challenges, let's explore how we can work together.