AI Learning Lab
An Innovation Showcase for AI-Powered Learning and Microlearning Strategies
Overview
The AI Learning Lab is a curated portfolio of cutting-edge work samples demonstrating how creativity and technology come together to address real-world challenges. From chatbot development to advanced digital learning tools, each project within the lab highlights expertise in instructional design, prompt engineering, and scalable microlearning solutions.
Use Case: Revolutionizing Training for Historic Site Employees
Featured Platform: Why 7 Taps? A user-friendly platform ideal for quick, mobile-friendly lessons. It enables rapid deployment of micro-courses that can be accessed anytime, anywhere.
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Historic site employees often juggle hands-on responsibilities, customer engagement, and knowledge of local history. Traditional training methods can be time-intensive and less engaging.
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Leveraging 7 Taps and AI-driven content generation, the lab developed bite-sized lessons on historical facts, customer service best practices, and safety procedures—delivered right to employees’ mobile devices.
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Reduced onboarding time for new hires.
Improved knowledge retention and on-the-job confidence.
Scalable, repeatable modules that can be updated quickly with AI support.
Why It Matters
Scalability & Flexibility: Microlearning courses can be adapted to various industries and roles, making it easy to replicate success.
Real-World Application: Workers can absorb vital information without stepping away from their roles for prolonged training sessions.
Future-Focused: This approach paves the way for more engaging and accessible workforce training—across museums, theme parks, or any customer-facing organization.
Brattlab
Brattlab is an openLab series documenting AI tool integration for adaptive learning, task management, and productivity enhancement through Loom videos.
Year
2024
Client
Casual Simulation
Collaborative Intelligence & Notion AI Tech Stacks
I leverage Notion as a centralized command center to coordinate projects, automate workflows, and integrate AI-driven solutions. My approach combines task allocation best practices with advanced prompt engineering and environment stacks, ensuring each project benefits from faster iteration, clearer communication, and measurable results. By embedding interactive dashboards, short Loom tutorials, and AI-powered knowledge bases, teams can seamlessly track progress and adapt to new challenges in real time. This holistic system not only optimizes day-to-day operations but also supports continuous learning and innovation—fueling a culture of collaborative intelligence.
"She has an innate talent for breaking down complex concepts into digestible, actionable insights."
— Past Client