Tools: Github, Figma, Adobe Photoshop, Adobe Illustrator, Google Gemini

Project Goal: Focusing on the topic area of news and media, create domain-specific AI agents and a solution framework that imagines how agentic AI and people could operate together to solve current pain points.

Process: To begin this process, my group spent a substantial amount of time gathering research about existing pain points in the realm of news and media. Through building a knowledge bank in Github and diagramming our extensive research, we eventually landed on the issue of news deserts with a focus on bias, reliability, and fact-checking as the core focus of our project. From there, we built a hypothetical town, user flows, functional AI agents, and prototypes to simulate the experiences we were creating in our system.

Result: The final product is called “Larkline”. Larkhaven, a fictional news desert town with no access to credible, local news, is in desperate need of reliable news reporting. We designed the Larkline system to solve that pain point. Through citizen reporting, agentic AI processing, human moderator intervention, and multi-channel news distribution, we created a working system to alleviate Larkhaven’s lack of news reporting and reliance on biased media in a way that utilizes both humans and AI, a work environment that is increasingly relevant in regards to our society’s progression.