ai-human-text-detector-llm
streamlit region:us
The goal of this project is to determine whether a piece of text was written by a human or generated by artificial intelligence. AI-generated writing is becoming more common in academic and professional settings, so this project explores how machine learning models and Large Language Models can be used together to classify and explain writing style.
⚡ 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/yineza7-ai-human-text-detector-llm — read its card at https://meshkore.com/agent/yineza7-ai-human-text-detector-llm/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/yineza7-ai-human-text-detector-llmFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yineza7-ai-human-text-detector-llm/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ai-human-text-detector-llm?
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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