tnl
Structured English contracts for AI coding agents — proposed by the agent, approved by you, saved on disk, read by every future session.
AI coding agents make design decisions silently, drift from what was planned, and lose context at session end. TNL (Typed Natural Language) is the fix: a per-feature English contract with a fixed schema — proposed by the agent, approved by you, implemented against, saved on disk, and read by every future session. If you've used plan mode in Claude Code, this is the same discipline made compact, persistent, and machine-checkable.
⚡ 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/janaraj-tnl — read its card at https://meshkore.com/agent/janaraj-tnl/.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/janaraj-tnlFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/janaraj-tnl/.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 tnl?
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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