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.
Feynman multi-agent system searches papers and the web, synthesizes findings, runs simulated peer review, verifies citations, and outputs a cited brief.
Feynman multi-agent system searches papers and the web, synthesizes findings, runs simulated peer review, verifies citations, and outputs a cited brief.
User runs one curl-bash install from terminal then types a topic. Researcher agent pulls evidence from papers, repos, docs, and web; Reviewer runs simulated peer review with severity-graded feedback; Writer drafts paper-style output from notes; Verifier checks every citation and drops dead links. Additional agents can replicate experiments on local/cloud GPUs or audit papers against codebases.
Produces a fully cited research brief with all claims source-grounded. No usage metrics or shortfalls reported in the post.
Single curl install command; repo at github.com/Companion-Inc/feynman; thread notes the installer script is not itself open.
Research [topic] and write a cited brief of about [length]. Search academic papers and the web, synthesize the main findings, then critique your own draft as a skeptical peer reviewer and fix the weak points. Verify every citation actually exists and supports its claim; you're done when I have the brief with a reference list and a note on any claims you couldn't verify.
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.