Welcome to AI Project Gallery Blog! 

Get a behind-the-scenes look into the projects created by our members in the AI Workgroup. See how real-world projects directly link to the concepts discussed in our monthly sessions. 

Each post provides a deep dive into each project, including the creation process, the specific AI tools used, and how it relates to the AI Workgroup Sessions.

  • Tuesday, December 09, 2025 9:18 PM | Victoria Brenes (Administrator)



    AI Generated Lesson Plan for a 1st Grade Music Specialist

    Creator: Randy Olvera

    Tags: AI workgroup, AI Project gallery, lesson plan, education

    Check out his lesson plan!

    Brief Project Description

    This short project was created following an instructional lesson using Nearpod. The lesson takes you through basic steps on how to create a well written prompt for the purpose of creating a lesson plan. The lesson takes the learner through the importance of prompting, reprompting, roles, context and providing specifications when using ChatGPT. The end result is a tailored made lesson plan.

    Key AI Tools/Models Used

    • ChatGPT

    How does this project demonstrate a principle or skill learned from an AI Workgroup session?

    I have been to a few AI Workgroup sessions and have learned so much. There are always tools being discussed and showcased. ChatGPT was the tool used to create this project. Specifically the prompt engineering tips and best practices discussed in AI Workgroup sessions were used to create this lesson plan. This may be a small example but it shows the importance of what having a fully descriptive and detailed prompt can do for you to help maximize the use of AI.

  • Thursday, December 04, 2025 9:22 PM | Victoria Brenes (Administrator)


    AI-Guided Instructional Design Portfolio

    Creator: Kim Lamothe

    Tags: AI workgroup, AI Project gallery, portfolio, instructional design

    Check out her portfolio!

    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

    • Chatbase (hosted chatbot; uses OpenAI GPT-class models under the hood)
    • ChatGPT (prompt engineering for copy, UX microcopy, and a11y checklists)
    • Sheet.best (data piping)
    • GitHub (docs/versions)
    • Vercel  (deploy)

    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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