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 reply describes daily and weekly cron jobs running AI deep research on watchlists and monitoring company events and insider activity.
A reply describes daily and weekly cron jobs running AI deep research on watchlists and monitoring company events and insider activity.
In a comment, the person said they wanted daily and weekly cron jobs to trigger a script that runs AI deep research across their watchlists, plus a few tools to pull quick baseline information on any stock. They were buying “skills” from a Substack and planned to adapt them for local AI on a MacBook, but described the setup as still a work in progress rather than a finished system.
They did not report results, performance numbers, or a completed workflow. The main limitation they named was lack of time, and the implementation was still unfinished.
The only concrete cost mentioned was roughly $300 per year for the “Compound with AI” Substack, apparently after some discount.
Every weekday at [time] and every [day] weekly, run deep research on my watchlist [tickers]. Summarize new company events, earnings dates, news, and insider filings, and flag anything that changed since the last run. Send me a concise digest at [channel], and do not place any trades or send anything to anyone else.
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.
An agent runs overnight, collects the author's AI newsletter subscriptions and produces a daily podcast to listen to on walks.