Operations | Monitoring | ITSM | DevOps | Cloud

Engineering reliable AI agents: The prompt structure guide

The difference between an AI assistant that "almost" works and one that consistently delivers high-value results is rarely a matter of raw model capability. Instead, the bottleneck is typically the quality and structure of the instructions provided. For DevOps and SRE teams building automated workflows, "magical prompt tricks" are no substitute for a repeatable, engineered structure.

The Invisible Million Dollars and How AI Prevents Revenue Leakage

We have spent the last decade engineering our organizations for velocity. We optimized for "Land and Expand." We celebrated bookings. We built commercial architectures designed to intake revenue faster than we could operationalize it. In that era, operational friction was accepted as the cost of doing business. That era is over. The mandate has shifted from growth at all costs to efficient growth.

Feature Friday: Personalized Context in One Click. New Cortex MCP My Workspace

Stop digging through tabs and explaining your role to your tools. In this Feature Friday, we’re unveiling 'My Workspace' for the Cortex MCP, designed to give you instant, personalized identity the moment you start your day. Before today, you had to manually fetch data from Jira, GitHub, and internal docs just to figure out your priorities. Now, you can simply ask, "What should I work on this week?" and get a parallel, high-speed pull of your entire ecosystem.

Why Your Hotel's Review Responses Matter More Than You Think for Guest Loyalty

Price wars? Those are yesterday's battles. Location advantages? Sure, they help. But here's what really determines whether guests come back to your hotel: trust. And trust doesn't live on your homepage; it lives in your review section. Every time someone takes fifteen minutes out of their day to write about their stay, your reply (or radio silence) tells them exactly who you are as a brand.

MCP: Why AI Needs Git Intelligence

GitKraken CTO Eric Amodio breaks down the Model Context Protocol (MCP) and explains why Git intelligence is critical for AI agents at GitKon 2025. In this session, Eric covers: What MCP is and why every major AI company adopted it Why AI needs Git history, not just file system access How GitKraken MCP removes Git pain safely The future of agentic developer workflows How Commit Composer uses AI to organize commits without losing data.