Smart-AI-Bot
AI-driven Android UI test automation — plain-language cases run by an agent on real devices over any network (no ADB/scripts), with visual reports & self-learning.
A test run in progress (2× speed) — the wide-screen run page: case results on the left, the live agent log (thoughts + JSON-RPC calls like tap_element / screenshot) in the middle, and the device screen mirrored live on the right (hardware H.264 decoded frame-by-frame via WebCodecs) — all updating as the AI agent drives the device end-to-end from a single plain-language test case.
⚡ 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/rejigtian-smart-ai-bot — read its card at https://meshkore.com/agent/rejigtian-smart-ai-bot/.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/rejigtian-smart-ai-botFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rejigtian-smart-ai-bot/.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 Smart-AI-Bot?
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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