# Tracking the Ghosts in the Machine: Instrumenting Asynchronous AI Agent Workfl

<p>Multi-agentic architectures can pose challenges from an observability perspective. Each agent within a workflow makes its calls to its own toolset and each agent may be

<h1> How I Built a Time-Travel Debugger for AI Agents </h1> <p>What if debugging an AI agent worked more like debugging normal code?</p> <p>Pause execution.</p> <p>Inspect what

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs

<h1> Why Your Streaming AI Agent Looks Broken (And How to Fix It) </h1> <p>Your streaming AI agent appears to think for 30 seconds, then vomits a wall of text all at once —

<h2> The Problem Nobody Talks About </h2> <p>You've built an agent. You've wired up 100+ tools. You feel good about it.</p> <p>Then it starts hallucinating. Picking the wrong

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand