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AI Boom or Bust Session 3: Real-World Use Cases You Can Deploy Today
You’ve seen the vision. You’ve built the blueprint. Now it’s time to put AI to work. In this fast-paced, tactical session, we’ll showcase real-world MSP AI implementations — what’s working, what’s not, and how to adapt these examples to your own business.
7 ways AI agents are transforming software delivery
For most teams, the slowest part of delivery isn’t writing code, it’s everything that happens after: automated tests, manual reviews, bug fixes, final approvals, and the long wait for deployment. The longer these phases run, the more expensive and painful late fixes become. As AI makes it easier to generate code at scale, those bottlenecks only get bigger.
Honeycomb Observability Day SF - Kesha Mykhailov, Fin.ai: Human-Centric Observability in AI Systems
Empathy is one of the superpowers of modern teams, especially when building tools that interact with humans. This talk by Kesha Mykhailov tells the story of Fin, Intercom's Customer Support agent, and how they transformed their approach to Fin's.
Resolve CEO breaks down Accelerating Zero Ticket IT with Agentic AI and Automation #itautomation
“How do we build a truly agentless helpdesk?” Resolve CEO Sean Heuer breaks it down. RITA + Espressive = 30–40% fewer tickets AI agents that actually resolve The future of Zero Ticket IT.
Announcing Scout's MCP Server for AI-Native Monitoring!
We’re excited to introduce the Scout Monitoring MCP Server — a new way to bring AI-native monitoring directly into your coding assistant. Instead of flipping between dashboards and logs, the MCP (Model Context Protocol) server surfaces performance data, errors, and slow endpoints right where you work. Ask plain-language questions like “show me the latest five errors” and get answers grounded in live telemetry. You can even let your coding assistant propose and push fixes!
AI for Network Leaders by Selector - Round Table discussion
AI Leaders in Networking Roundtable | Greg Freeman, Du’An Lightfoot, Jeremy Shulman, William Collins, Scott Robohn & John Capobianco (Moderator)
AI for Network Leaders by Selector - AI Agents and MCP by John Capobianco
AI Agents & Model Context Protocol John Capobianco, Head of Developer Relations at Selector, dives deep into AI Agents and the Model Context Protocol (MCP). In this session, John demonstrates Selector MCP in action — running as a client-server, connecting multimodal inputs, and even talking to Selector using microphone + TTS audio via Gemini CLI. He also showcases Sebastian Maniak’s Claude Desktop integration, where Selector MCP powers a chatGPT-like UI for network engineers. A practical look at how MCP is transforming AI into a true digital co-worker.
AI for Network Leaders by Selector - Building Your First RAG App by John Capobianco
Building Your First GenAI RAG Application John Capobianco, Head of Developer Relations at Selector, walks through a 6-step process for building your first GenAI RAG application. From foundational building blocks to the path toward full AI agents, RAG remains a powerful tool with huge ROI. Even in a world of autonomous agents and MCPs, RAG is still one of the best ways for network engineers and IT leaders to query dozens of sources and unlock real value.