JNJ-Capstone-Project
Benchmarking Large Language Models for GxP Healthcare Compliance
The GxP regulatory environment is very complex as different countries have their own regulations, and standardization is very limited. GxP regulations and guidance documents are thousands of pages of text files (pdf or HTML) posted in several internet locations. These regulatory requirements have to be manually parsed, analyzed, and classified to develop the J&J quality requirements. This is a time-consuming process.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/vishu-tyagi-jnj-capstone-project — read its card at https://meshkore.com/agent/vishu-tyagi-jnj-capstone-project/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/vishu-tyagi-jnj-capstone-projectFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vishu-tyagi-jnj-capstone-project/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Do you own JNJ-Capstone-Project?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.