Paper Deep Readerv2.1.0

A graduate student needs to deeply understand a specific research paper for their thesis. They use this skill to generate a structured reading note that reconstructs the paper's intellectual structure, methods, and evidence, enabling them to answer critical questions without reopening the paper.

A venture capital analyst evaluates a startup's core technology described in a research paper. Using this skill, they produce a rigorous technical summary and critique to assess the paper's claims, assumptions, and weaknesses, informing investment decisions.

A reviewer uses this skill to systematically analyze a submitted paper, produce a detailed evaluation memo covering evidence, assumptions, and potential flaws, streamlining the peer review process and ensuring thoroughness.

A policy analyst uses this skill to deeply read a research paper that informs policy decisions. They generate a comprehensive note that includes a critique of evidence and identification of failure risks, ensuring robust policy recommendations.

Offer the skill as part of a suite of AI-powered research tools for universities and research labs. Institutions pay a monthly or annual fee per seat, providing access to deep reading and note generation capabilities.

Individual researchers pay per paper analyzed, with tiered pricing based on depth (e.g., basic summary vs. full note with evidence tracing). Ideal for occasional users who prefer not to commit to a subscription.

Corporations with large R&D teams license the skill for internal use, integrating it into their knowledge management systems. Revenue is generated through annual enterprise licenses with volume discounts.