Hyeonjeong Jun

Every day, a massive volume of complex AI research (papers and codebases) is published. However, simply reading an abstract, skimming a GitHub repo, or watching a YouTube explainer isn't enough to truly understand the mechanics of new models. The core problem is that the gap between a paper being "published" and actually being "understood" by the community is widening. What "Papers with Claude Code" Solves Course Creation Friction: It eliminates the weeks of manual work usually required to build a technical curriculum. By analyzing an arXiv URL and a GitHub repo, Claude Code generates a grounded, hallucination-free course in under a minute. Broken Platform Economics: It replaces expensive monthly subscriptions and greedy platform middlemen with a native x402 micropayment system. Learners pay fractions of a cent in USDC (on Base/Kite Chain) only for the exact concepts they unlock. By using ERC-8021 builder codes, it automatically routes on-chain royalties directly to the original paper authors whenever their work is taught. Isolated Learning: It moves education out of private silos. Progress is recorded on the AIN blockchain, creating a verifiable learning passport for users and mapping a real-time, global Knowledge Graph of what the community actually understands.