𝗬𝗼𝘂𝗿 𝗮𝗴𝗲𝗻𝘁 𝗽𝗮𝘀𝘀𝗲𝗱 𝗲𝘃𝗲𝗿𝘆 𝘁𝗲𝘀𝘁. 𝗦𝗼 𝘄𝗵𝘆 𝗱𝗶𝗱 𝗶𝘁 𝗰𝗼𝗻𝘁𝗿𝗮𝗱𝗶𝗰𝘁 𝗶𝘁𝘀𝗲𝗹𝗳 𝗳𝗶𝘃𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 𝗶𝗻? Single-turn tests stop at one response. Conversations keep going. We put together a guide on testing AI agents through multi-turn simulation, using Netra. From first scenario to root cause in one read. Link in the comments.

Do your evals stop the day your agent ships? Testing before release covers the scenarios you planned for. Real users bring the rest. We put together a guide on how to evaluate AI agents before and after deployment, using Netra. Curious how it’s done? Link in the comments.

𝗧𝗵𝗮𝘁’𝘀 𝗮 𝘄𝗿𝗮𝗽 𝗳𝗼𝗿 𝗡𝗲𝘁𝗿𝗮 𝗮𝘁 𝗖𝘆𝗽𝗵𝗲𝗿 𝟮𝟬𝟮𝟲. For three days, one question kept opening up conversations at our stall: How are you testing your AI agents, and how do you know they’re reliable? What we heard was interesting. Most teams are familiar with observability and evaluations. But the conversations changed when we started showing how deep agent evaluation can go, and how reliability needs more than checking a response once. We also met teams using separate platforms for observability and evaluations, building their own evaluators, or still relying heavily on manual testing. That gave us the opportunity to show a different approach. Netra brings AI agent observability, evaluation, simulation, and security testing together in one platform, built for text, voice, image, and video agents. Simulation, Agent Insights, security testing, and online evals were some of the areas that sparked the most curiosity. People wanted to understand how these different layers could work together to help them build more reliable agents. And we learned just as much from hearing about the reliability challenges teams are facing in the real world. On stage, Prasanth, Co-founder and CTO of Netra, took that conversation deeper with “Why AI That Works Once Is Not Enough: The Agent Testing Ladder.” From founders and CEOs to data scientists and AI agent builders, it was great meeting everyone who stopped by, played the AI Agent Evaluator quiz, shared what they are building, and spent time with us. That’s Cypher 2026 for Team Netra. Want to see how Netra helps you make your AI agents more reliable? Link in the comments. #Cypher2026 #AIAgents #AIReliability #AgenticAI #AIObservability

𝗪𝗲'𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗼 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗔𝗜 𝘀𝘂𝗺𝗺𝗶𝘁 𝗮𝗻𝗱 𝗲𝘅𝗽𝗼. Team Netra will be at Cypher 2026, KTPO Bengaluru, from Oct 7 to 9. We'd love to meet everyone building and deploying AI agents: founders, engineers, product leaders, researchers, investors, and anyone curious about how agents can be trusted. Come talk to us, and we'll show you how to make your agents reliable. Find us at Stall 40.

Your agent gave a wrong answer. Can you tell which step caused it? Nothing crashed. The logs look fine. The problem is still in there somewhere. We wrote a step-by-step guide to finding it, using Netra. From setup to root cause in one read. Link in the comments. Make your AI agents reliable. #AI #LLM #AIAgents #LLMOps #Observability #Netra #OpenTelemetry

Ever wonder why your agent suddenly started behaving differently after a small prompt edit? No crash, no error. It just changed. We just published a guide on how to manage prompts the right way, from versioning to testing to evaluation. Curious how it's done? Full guide in the comments #AIAgents #Netra #PromptManagement

𝗧𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘄𝗮𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗮𝗴𝗲𝗻𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗱𝗼𝗶𝗻𝗴. Tracing answered that. But knowing what an agent did was not the same as knowing if it did the right thing. So we built evaluation. Then came a harder question. What would this agent do on a day we haven't seen yet. Simulation answered that. Then a sharper one. How would this break if someone tried to break it. Red teaming answered that. Each answer opened up the next question. That is how eight layers got built, one at a time, chasing a clearer picture of what reliable actually means. That's what Netra has become. One platform to make text, voice, image, and video agents reliable. Link in the comments. #AI #LLMOps #AIAgents #Netra