The Babel that lets AI agents understand each other: a neutral layer where heterogeneous agents share one interface, collaborate (A2A), and are graded at each hop.
Official CapiscIO GitHub Action to validate A2A (Agent-to-Agent) Agent Cards. Features schema validation, cryptographic verification, and live endpoint testing with 3D quality scoring.
Agentic commerce for the one-person company. Real, source-backed writing on AI agents and money: AI product discovery (llms.txt), agent payment protocols (AP2/A2A/MCP). No hype.
A 36-chapter curriculum on building, evaluating, securing and operating LLM agents in production: patterns, context engineering, memory, frameworks, MCP and A2A, evals, observability, security, and FDE delivery (2026).
5 multi-agent patterns using Google ADK and A2A protocol — Agent Card Discovery, Delegated Specialization, MCP Tool Bridge, Cross-Org Federation, and Ambient Event Mesh. Built while learning in public.