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 team DM'd Lindy in Slack to summarize a year of guides and research a model, and it created a Notion guide idea after asking for approval.
A team DM'd Lindy in Slack to summarize a year of guides and research a model, and it created a Notion guide idea after asking for approval.
With Slack connected, the team DM'd Lindy to review this year's Rundown University guides and summarize where AI products are heading and what content they make. In a second request they asked it to research Claude 5.1 and turn it into a Notion guide idea. Lindy asked for approval before creating the page, then filled in the database properties, added the source, and posted the Notion link in Slack.
The guide analysis found shifts toward agents that do work, rising coding agents, OpenAI and Claude dominance, and outcome-first framing. The Notion page was created correctly after approval. The guide gives no quantified results for these two tasks.
Keep approvals on for anything Lindy creates, sends, or updates through someone's connected account. Heavier builds run in the background; a Monday staff deck took about 10 to 15 minutes.
When I message you in Slack, research [topic or model] and summarize [past content, e.g. last year's guides] in a short brief with sources. Then propose a guide idea and ask for my approval before creating a page in [Notion database]. Once I approve, create the page and link it back in Slack.
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.