Automating away the boring parts of my job with Gemini 1.5 Pro and long context

Paige Bailey discusses the use of Gemini 1.5 Pro and its long context capabilities to automate various tasks in her job, particularly in Developer Relations (DevRel) and user experience research. She highlights several applications of the technology, emphasizing its ability to handle over 2 million tokens of data, which can include extensive resources like videos, emails, and codebases. One application involves uploading and analyzing different versions of a codebase to generate documentation, blog posts, and updated tutorials. Another use case is scraping user feedback from platforms like GitHub and Discord to prioritize product feedback, exemplified by comparing feedback on the open-source vector database Chroma with its competitor Qdrant. Additionally, Bailey mentions the automation of content creation for social media by ingesting tutorials and documentation, which can also include generating avatars for video presentations and translating content. The tool can analyze user experience videos to create detailed friction logs, identifying areas of success and difficulty. Other potential uses include generating proposals, synthesizing customer feedback from meetings, and creating product requirement documents (PRDs) for software updates. Bailey concludes by encouraging others to explore the capabilities of Gemini 1.5 Pro for automating repetitive tasks in their work.