Loading video player...
Welcome to Day 4 of the Agent Architect Cohort with Siva (Founder, Lyzr) and Jimmy (CTO)! This is where agents become production-ready. Learn the critical frameworks for testing, monitoring, and securing AI agents before deployment. Today's focus: The gap between prototype and production. 95% of AI projects fail because they can't cross this bridge. Learn the exact frameworks used by Fortune 500 companies like Allstate Insurance and JP Morgan Chase to deploy production-grade agents. šÆ What You'll Master: 1. Agent Ops: Evolution from MLOps ā AI Ops ā Gen AI Ops ā Agent Ops 2. RAG Evaluation: Manual and automated testing of retrieval systems (confidence scores, chunk optimization, cost reduction) 3. Agent Eval: Automated test case generation (golden path, edge cases, negative tests) 4. All state's 10x10 Framework: 10 test cases Ć 10 scenarios Ć 10 inputs = 100 permutations for production approval 5. Monitoring & Observability: Credit tracking, latency analysis, failure rates, traceability 6. KPIs for Agent Success: Business impact, user adoption, effectiveness, operational efficiency Perfect for: Engineering teams, compliance officers, CTOs, solution architects, and anyone deploying agents in regulated industries or enterprise environments. Tomorrow (Day 5 - Finale): Build a complete Y Combinator-grade startup with Lyzr + Lovable in 90 minutes! Chapters 0:00 Welcome to Day 4: Productionization Focus 0:47 Why Productionization Takes Equal Time as Building 1:50 Agent Ops: The New Evolution 2:08 MLOps ā AI Ops ā Gen AI Ops ā Agent Ops 3:00 What is Agent Ops? Tracking, Guardrails, Telemetrics 4:23 Breaking Down Agent Ops: DevOps Meets Gen AI 5:04 RAG Ops: Evaluation Frameworks 5:21 Live Demo: Context Relevance Testing in Lyzr 6:33 Testing Retrieval Types: Basic vs MMR vs HyDE 7:38 RAG Evaluation: Balancing Cost and Performance 8:29 Test Case Types: Golden Path, Edge Cases, Negative Tests 9:23 Workflow Testing: End-to-End, Delegation, Routing 9:46 Agent Accuracy Improvement Framework 10:27 Allstate Insurance's 10x10 Testing Framework 11:11 Criticality-Based Testing: 10x10 vs 100x100 12:02 Why Agent Ops Needs Granular Tracking 12:28 Agent Eval Module: Automated Test Generation 13:17 Live Demo: Life Insurance Claims Agent Evaluation 14:27 Evaluation Results: Mismatch Detection 15:17 Agent Eval: Auto-Generated Improvement Suggestions 15:35 Monitoring: The Production Requirement 16:16 Observability Dashboard: Sessions, Traces, Usage 17:22 Traceability: Debugging Agent Behavior 17:43 KPIs for Agent Success 18:05 Business Impact: ROI and Headcount Reduction 18:14 User Adoption Case Study: Perplexity Fellowship 19:38 Why Enterprise ChatGPT Adoption is Low 20:26 Product Manager Lesson: Iterate on User Feedback 20:52 Effectiveness, Efficiency, User Experience KPIs 21:40 Responsible and Safe AI: Production Enabler 22:11 Lyzr's Responsible AI Architecture 23:14 Why Build Guardrails Native to Agents? 24:26 Organization-Level RA Policies (China vs USA) 25:04 Regulatory Compliance: EU AI Act, Canada 26:05 World's Largest Regulatory Knowledge Graph Announcement 26:53 Hallucination Management Deep Dive 27:10 Reflection: Checking Output Against Instructions 27:43 Groundedness: Fact-Based Validation 28:43 CVS Research: LLM-as-Judge and LLM-as-Panel 29:35 Neurosymbolic AI: The Next Frontier 30:34 Agent Entitlement Policy: JP Morgan Chase Story 31:18 Scenario: Finance Agent vs Website Agent 32:33 Live Demo: Agent Entitlement Policy in Action 33:29 Unauthorized Access Rejection Example 34:38 Day 4 Recap: Agent Ops to Entitlement 36:20 The Cybersecurity Equivalent for Agents 37:01 Why Ecosystems Build Their Own Guardrails 38:11 Q&A: Agent Eval Launch Timeline (Next Week!) 38:28 Q&A: Prompt Injection Demo 39:22 Prompt Injection: Real Customer Story (4000 Files) 40:44 Q&A: DDoS Attack Protection 41:50 Q&A: Dev Mode Configurability 42:27 Q&A: Controlling Agent Output Presentation 43:24 Q&A: How Test Cases are Auto-Generated 44:40 Q&A: Kubernetes Deployment Test Cases 44:58 Q&A: Monitoring Dashboard Walkthrough 46:23 Q&A: Key Skills for Agent Architects 47:28 Q&A: Adding Non-Lyzr Agents to Workflows 48:12 Q&A: Evaluating Multimodal Agents 48:53 Q&A: Connecting Lyzr Agents to MCP Servers 49:41 Q&A: Agent Eval Edge Case Coverage 50:12 Q&A: MCP Registry Status 51:43 Q&A: Private Enterprise Deployment Options 52:26 Day 5 Preview: Building YC-Grade Product in 90 Minutes 52:49 Closing: Tomorrow is the Big Build Day! š Important Links š§ Build your own AI agent ā https://hubs.ly/Q03wb5Md0 š Explore our website ā https://hubs.ly/Q03wbGVt0 š Build agents for your company (Book a demo) ā https://hubs.ly/Q03wbH0k0 š„ Invest in Lyzr ā https://hubs.ly/Q03wbDxV0 š Learn how to build agents with Lyzr Academy ā https://hubs.ly/Q03wqxFR0