My work focuses on AI enablement and practical AI workflows.
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Tools built around real work, with the decisions left visible.
Choose an AI model for a task, then check its answer.
Keep the moving parts of a school music program in one place.
A file-backed system for planning work, keeping decisions, and making projects easier to resume.
Review one evidence-backed record at a time, with a clear history of human decisions.
A small utility for choosing a model route and keeping a record of the choice.
Define and check the structure of an application’s data before building its interface.
Turn a checked data model into an inspectable application plan.
Organize business contacts, companies, and sales work in a shared application.
Move content from an initial idea through drafting, review, and planning.
Coordinate substitute coverage and the information people need for a handoff.
Explore AI-supported implementation work through a fictional field-operations company.
Prepare hiring materials while keeping candidate decisions with a human reviewer.
Turn a small source-data file into a printable morning newspaper.
Explore workflow opportunities, adoption planning, and workforce readiness together.
Ways to help people understand a process and use AI with judgment.
Uncover how work really gets done before automating it.
A two-page framework for introducing AI into a workflow with clear decisions and review points.
A practical field guide to using AI in everyday work.
Help a team turn one useful AI task into a new way of working.
Learn practical AI skills by building something useful.
Find recurring work that may be worth simplifying or redesigning.
Learn to use AI for everyday tasks while keeping your own judgment.
Examine the information and decisions a workflow needs before adding AI.
Practice experiences that make complex ideas easier to work through.
A study game with 60 original questions and ten-question repair rounds.
Browser simulations for testing how changes in one part of a system affect another.
Learn through a small app and the practical friction that comes with building it.
Help a teacher examine learner responses and decide what to revisit.
Bring structure to college-planning decisions.
Check the information available in fictional retail-return records.
Ideas in progress, shown honestly as prototypes and explorations.
A fictional learning institution where proposals, consent, and evidence are part of the experience.
A fictional casework system for exploring jobs and practices that do not yet exist.
Show how a service could receive one needed fact rather than a complete identity profile.
Explore a small world through visual atmosphere and changing system states.
Use a browser game to explore judgment and interactive storytelling.
A playful founder simulation about the pressure to keep producing the next AI demo.
Explore a fictional world where one player’s choices create consequences for others.
Turn starting a task into a small quest with a companion character.
Explorations of evidence, governance, and human decisions in AI workflows.
Organize unresolved questions while preserving conflicting evidence.
Require source evidence and an explicit failure condition before producing a finding.
Examine whether a claim is supported by the evidence attached to it.
Practical patterns for defining AI workflow boundaries and readiness.
Explore how evidence and human decision points can be built into an AI workflow.
The public homes for my implementation, web design, and independent research work.
Practical AI workflows, tools, and enablement resources.
Web work for small businesses, with a clear route to the information visitors need.
Frameworks and experiments about organizational design, governance, and human judgment.