Summarize a YouTuber's latest video into a Google Doc daily
A Make scenario runs at 9 AM, finds a YouTuber's newest video, has Hugging Face summarize it, and appends the summary to a Google Doc.
A student used a named dot for ongoing research and daily tasks with persistent context across chats, set up for email.
A student used a named dot for ongoing research and daily tasks with persistent context across chats, set up for email.
A student named his OpenAI dot Lisa and used it for a week on nearly all tasks instead of opening new chats. He relied on the dot's ongoing context and personalization across conversations while testing it for research work, speaking hands-free via phone.
The persistent context made daily use feel like working with one person; he barely started fresh chats. No specific results or shortfalls beyond his listed frustrations were stated.
Act as my ongoing research assistant for [my field or course]. Keep notes on my topics, sources, and deadlines so each new chat picks up where the last one left off, and start by summarizing what you know about [current project]. Connect to my email only for reading, and before sending any message or deleting anything, show me exactly what you plan to do.
A Make scenario runs at 9 AM, finds a YouTuber's newest video, has Hugging Face summarize it, and appends the summary to a Google Doc.
An n8n workflow scrapes Reddit posts and comments via Bright Data, extracts concerns and themes with Gemini, and writes reports to Notion.
A user left a Gemini agent running overnight to analyze 170k LLM logs with the llm CLI and a free model, and it finished the job despite limits.