Building MCP UI: Server-Driven Interactive Widgets for AI Agents
Architecting server-driven generative UI over Model Context Protocol (MCP) using structured JSON schemas, client-side sandboxed rendering, and bidirectional action loops.
Deep dives into Open Knowledge Format (OKF), AI Agent orchestration, MACH architecture, and developer productivity.
Architecting server-driven generative UI over Model Context Protocol (MCP) using structured JSON schemas, client-side sandboxed rendering, and bidirectional action loops.
A deep dive into embedding production AI governance inside Next.js frontends, covering client-side DLP, OWASP LLM output sanitization, EU AI Act C2PA provenance signing, and audit telemetry.
How OKF v0.2 tackles agentic trust, provenance, trust tiers, staleness, and anti-hallucination Attested Computations in AI knowledge graphs.
Architecting stateful multi-agent LLM graphs with custom state channels, conditional routing, human-in-the-loop approval, and streaming responses in Next.js.
A plain-English guide explaining how modern AI represents human meaning as spatial coordinates, how cosine similarity works, and the normalize-then-dot trick used by vector databases.
A deep dive into running and adapting LLMs directly in the browser sandbox. We combine StackBlitz WebContainers with WebGPU and LoRA to build a zero-cost, private AI playground.
A hands-on guide to building and securing custom Model Context Protocol (MCP) servers to safely connect enterprise data to AI developer agents.
How to build a production-grade LLM routing layer with failovers, fallback models, and structured Zod outputs using Vercel AI SDK.
How I structured this portfolio's documentation as a navigable markdown graph using Google's OKF spec, with real validation and automation.