Bonus Content: MCP Analytics Q&A with Shinzo Labs’ Austin Born & Agnost AI’s Shubham Palriwala

Описание: This 𝗯𝗼𝗻𝘂𝘀 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 from 𝘛𝘩𝘦 𝘊𝘰𝘯𝘵𝘦𝘹𝘵 brings together two of the earliest builders in the MCP analytics space — Austin Born (CEO, Shinzo Labs) and Shubham Palriwala (CEO, Agnost AI) — for an open Q&A on where analytics for MCP servers and AI agents is headed.

Across this discussion, they dive into:

  • Why MCP analytics is becoming its own category
  • Why traditional analytics tools (Datadog, Mixpanel, GA) don’t map cleanly to agent workflows
  • The rise of agent analytics vs. classic UI/API analytics
  • How latency, error rates, and metrics need new definitions in the agent world
  • Why user-journey tracking, sentiment analysis, and token-aware insights matter more than raw metrics
  • How each founder “dogfoods” their own analytics while using AI agents to build their products
  • Whether the market will become competitive or niche-specialized
  • How LLM-driven development loops could become autonomous product cycles

This episode explores where analytics, observability, agents, and autonomous software loops might converge — and why MCP is a unique pressure point in the evolution of AI development.

Featuring:

Austin Born · CEO, Shinzo Labs
Shubham Palriwala · Cofounder & CEO, Agnost AI

🔗 Shinzo Labs: https://shinzo.ai/
🔗 Agnost AI: https://agnost.ai