Operations | Monitoring | ITSM | DevOps | Cloud

ilert AI Voice Agent: Deep dive

‍ The ilert AI Voice Agent is designed to transform how on-call engineers handle urgent calls. Instead of waking engineers at 3 a.m. with minimal context, the AI Voice Agent collects essential details first and routes calls intelligently based on relevant, up-to-date information. ‍ The agent works hand in hand with ilert’s Call Flow Builder – a visual tool that lets users design custom call flows by connecting configurable nodes.

Real-World Use Cases for Natural Language Copilots

Natural language copilots are one of the most exciting developments in AI for network operations. They allow engineers and operators to query complex environments in plain language rather than memorizing obscure CLI commands or digging through multiple dashboards. But here’s the truth: a copilot is only as good as the AI behind it. Without a purpose-built network LLM, a copilot can’t deliver the accuracy, context, and speed that real-world IT operations demand.

Is My Paper Human? The Top 6 AI Checkers for Students to Verify Their Work

AI detectors are everywhere in classrooms and submission portals. Students need clear, practical guidance that explains strengths and limitations. Use this guide to pick a checker and interpret results responsibly. You will learn how these systems work at a high level. You will also see a realistic look at accuracy, false positives, and appeals. Each tool section ends with a quick verdict for fast decisions.

How Thundr Uses AI to Create High Quality 1-on-1 Chats

People desire honest, interesting, and personal communication in today's fast-paced digital world. Most of the time, traditional online chat services fail to provide users with the depth and connections they desire. Thundr is different from other companies in that it utilizes cutting-edge AI to enhance discussions for both parties. The program makes every connection more engaging than a random chat service by placing a strong emphasis on personalization and user safety. Integrating these features on the platform enables this improvement.

What is an AI Agent? Understanding the Future of Intelligent Automation

In today's fast-paced digital world, the term AI agent is becoming increasingly common - but what does it really mean? Whether you're a tech enthusiast, a business owner, or just curious about artificial intelligence, understanding AI agents can help you stay ahead of the curve.

You built the MCP server. Now track every client, tool, and request with Sentry.

TL;DR - Starting today, you can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation. Click to Copy Click to Copy With this in place, you’ll be able to see details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation.

Sentry MCP server monitoring

We just launched MCP server monitoring in beta. You can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation using: wrapMcpServerWithSentry(McpServer) See details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation so you you can get visibility into all the sharp edges that your MCP server has — who’s using it, how it’s working (or not), and get alerted when things break.