Table of Contents
In this session, Rishav and Nikhil, walk you through what it takes to architect a resilient MCP framework that powers live evaluation and monitoring in GenAI workflows. From streaming real-time QA pipelines and observability hooks to embedding continuous guardrails and audit trails, learn how top teams build AI you can trust and skip the costly blind spots.
🎯 Who should watch:
This webinar is ideal for AI architects, engineering leads and product teams focused on delivering reliable, enterprise-scale GenAI.
Watch our webinar to learn:
- No-code evaluation with simple MCP commands.
- Set guardrails & observe AI behaviour and reasoning in real-time.
- Generate tailored synthetic datasets with a simple description.
- Manage datasets – upload, analyse, export → directly via natural language.
- Real-world use cases for building robust MCP.
👉 Need turnkey evaluation and observability for your GenAI system? Check out our docs or book a demo for a personalized walkthrough.
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