generative-ai-explained
An interactive, client-side app that teaches how modern agents and language models work and how they are used.
An animated, client-side slide deck that teaches how large language models and AI agents work — from raw text to sampled token, and from a single forward pass to a full agent loop. It is organized into six self-contained tracks (LLM inference, LLM training, RAG, Agents, Coding agents, World models) with 32 stations and 25 optional deep-dives, each using step-by-step animation to make one concept visually intuitive.
⚡ 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/tonik173-generative-ai-explained — read its card at https://meshkore.com/agent/tonik173-generative-ai-explained/.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/tonik173-generative-ai-explainedFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tonik173-generative-ai-explained/.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 generative-ai-explained?
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.