Projects
Work at the intersection of AI, writing, education, and strategy.
AI-Augmented Writing
Exploring how large language models can assist professional and academic writing — from research synthesis to editorial refinement — while preserving the author's voice.
About
This ongoing project investigates practical workflows for integrating AI into the writing process. The focus is on high-quality output: using LLMs as a collaborator rather than a replacement, with systematic prompting, iterative refinement, and human editorial oversight at every stage.
Key Areas
Prompt Engineering
Developing structured prompts that produce consistent, high-quality drafts for specific writing contexts.
Voice Preservation
Techniques for maintaining author identity and tone across AI-assisted revisions.
Research Synthesis
Using AI to surface connections across large bodies of literature quickly and accurately.
Editorial Workflow
Integrating AI assistance into professional editorial pipelines without sacrificing quality.
AI in Education
Designing AI-powered learning tools and curricula that help students engage more deeply with complex subjects through adaptive feedback and personalized instruction.
About
Education is one of the highest-leverage applications of AI. This project develops frameworks and tools for personalized instruction — tutoring systems, adaptive assessments, and intelligent content generation — grounded in learning science and classroom reality.
Key Areas
Adaptive Tutoring
Systems that adjust explanations and difficulty in real time based on student responses.
Assessment Design
AI-generated formative assessments that go beyond recall to test understanding.
Curriculum Scaffolding
Breaking complex topics into learnable sequences with AI-assisted content planning.
Accessibility
Making high-quality instruction available to learners regardless of background or location.
AI Consulting & Strategy
Helping organizations identify where AI creates real value, build internal capability, and implement thoughtful AI strategies that align with their mission.
About
Many organizations want to adopt AI but don't know where to start — or start in the wrong places. This consulting practice focuses on practical AI strategy: identifying high-value use cases, building internal literacy, and designing responsible implementation plans that deliver measurable results.
Key Areas
Use Case Discovery
Structured workshops to identify where AI will have the highest impact in your organization.
AI Literacy
Training programs that help teams understand AI capabilities and limitations accurately.
Implementation Roadmaps
Phased plans for deploying AI tools with appropriate governance and oversight.
Responsible AI
Frameworks for evaluating AI outputs, managing risk, and maintaining accountability.