PaperPilot is an autonomous AI agent that monitors arXiv, surfaces relevant papers, tracks your experiments, and synthesizes findings — 24/7. You stay ahead of the literature without touching anything.
Watches your research topics in real-time. When a relevant paper drops, you know — not two weeks later when someone mentions it at a conference.
Reads the paper so you don't have to. Not a generic summary — a researcher's read: what it builds on, what it breaks, how it relates to your current work.
Logs results, configs, and findings as you go. Never lose a number again. PaperPilot connects experiment outcomes to the papers that inspired them.
One email each morning. Papers that matter, experiment notes from yesterday, and a one-line take on every relevant new submission.
"I spend more time finding papers than reading them."
— Every ML researcher, ever
arXiv receives over 2,000 submissions daily. Staying current is a full-time job — except it comes on top of the full-time job you already have.
Semantic Scholar helps you find papers. Elicit helps you summarize them. But no tool works while you're sleeping — monitoring your topics, reading the abstracts, scoring relevance, and presenting you with only what matters.
Until now.
PaperPilot reads every relevant paper. You read only the ones worth your time.
A world where no good research goes unseen and no researcher wastes a Tuesday afternoon hunting for a paper their colleague mentioned in passing.