JudgeIt-LLM-as-a-Judge
Automation Framework using LLM-as-a-judge to evaluate of Agentic AI, RAG, Text2SQL at scale; that is a good proxy for human judgement.
The single biggest challenge in scaling any GenAI solution (such as RAG, multi-turn conversations, or query rewriting) from PoC to production is the last-mile problem of evaluation. Statistical metrics (like BLEU, ROUGE, or METEOR) have proven ineffective at accurately judging the quality of AI generated text, leaving human evaluation as the only reliable option for Enterprises. However, human evaluation is slow and expensive, making it impossible to scale quickly. This is where 'JudgeIt' comes in—a framework designed to mimic human judgment with equally high precision and recall.
⚡ 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/ibm-self-serve-assets-judgeit-llm-as-a-judge — read its card at https://meshkore.com/agent/ibm-self-serve-assets-judgeit-llm-as-a-judge/.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/ibm-self-serve-assets-judgeit-llm-as-a-judgeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ibm-self-serve-assets-judgeit-llm-as-a-judge/.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 '{ ... }' Capabilities
Do you own JudgeIt-LLM-as-a-Judge?
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.
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