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.
Answer.AI had Devin fetch an author's recent papers and research transcript summarization; it got stuck parsing HTML and returned generic results, rated a failure.
Answer.AI had Devin fetch an author's recent papers and research transcript summarization; it got stuck parsing HTML and returned generic results, rated a failure.
Answer.AI gave Devin, which works through Slack in its own Docker environment with a browser, editor and shell, two tasks. One was grabbing an author's 25 most recent Google Scholar papers with Playwright, skipping paywalls. The other was researching transcript summarization with accurate timestamps. They then rated the results.
Both failed. On the scraping task Devin got stuck parsing HTML and went to sleep. On the research task it returned related but unhelpful material and code that missed the core problem.
Across 20 tasks Devin had 14 failures and 3 successes. One research success, a Discord bot, worked because the goal was loose pseudocode-level guidance.
Research [author or topic] by finding their [number] most recent papers and writing a one-paragraph summary of each, with links to the sources. Then give me a short overview of the main themes across them. If a page can't be read, tell me which one and why instead of guessing, and stop once you have a cited summary I can check.
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 Slack watcher starts a Devin session on each new client message to investigate, create a Linear ticket, draft a response and route follow-ups.