Creator: Kim Lamothe
Tags: AI workgroup, AI Project gallery, portfolio, instructional design
Brief Project Description
I built an AI-guided instructional design portfolio to help busy reviewers (recruiters, hiring managers, and L&D peers) quickly find the most relevant work. The site is built with React and Tailwind CSS, pulls live project data from Google Sheets via Sheet.best, and is deployed on Vercel. The centerpiece is SCORMy, a lightweight AI chatbot that gives a 45-second tour, routes visitors to top projects, and answers questions about tools, process, and accessibility. I designed the experience accessibility-first (semantic structure, keyboard focus states, prefers-reduced-motion support, alt text) and documented the build publicly on GitHub. This project stretched me to “build in public,” practice transparent versioning, and demonstrate how I connect portfolio storytelling to measurable L&D needs (clear navigation, faster discovery of work samples, and quick access to 508 practices). The codebase is open source so other IDs can replicate the stack and swap in their own content.
Key AI Tools/Models Used
How does this project demonstrate a principle or skill learned from an AI Workgroup session?
I began building this AI-guided portfolio before the AI Workgroup. After attending the sessions on comparing AI models and prompt design, I refined the project to align with those principles. I used a lightweight chat model in Chatbase for low-latency routing. In terms of prompt structure, I switched to a Role–Audience–Context–Task–Tone + Examples template; added few-shot Q&As for recruiter queries. While the project pre-dated the Workgroup, the sessions directly improved model selection, prompting discipline, and reliability, turning SCORMy into a fast, accurate guide that showcases my work without replacing human storytelling.
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