DNOTIFIER BLOGS

Category: System Design & Architecture

  • What Is an Agent Hook and What Is It For?

    Picture this. An agent runs a tool it had no business running. Nobody notices until a customer emails. You check the logs. Thin. The prompt did say “be careful,” and that clearly didn’t help. This is where an agent hook earns its keep. A prompt asks the model nicely. A hook doesn’t ask. It just…

  • Agent Harness or Control Plane: Which?

    You’re in a vendor demo. The slide says “agent platform.” The agent runs, the tools fire, and everything looks fine. Then you ask who manages ten agents in production, and the room goes quiet. That gap is the whole story. Many teams buy an agent harness and expect a control plane. The two sound alike,…

  • Harness Engineering Patterns

    Your agent nailed the demo. Then real users showed up. It picked the wrong tool, looped for ten minutes, and nobody could tell why. Most of the time the model isn’t to blame. The code wrapped around it is. That code is the harness, and building it well is harness engineering. This post walks through…

  • AI Agent Harness Explained

    Your agent looked great in the demo. Then real users showed up. It looped on one step, forgot something obvious, and called the wrong tool. The model didn’t get worse. Everything around it just wasn’t ready for the job. That “everything” is the agent harness. So what is it, what does it do, and how…

  • Agent Platform API: What to Expose

    Your demo works fine. Then somebody adds a second agent. A workflow has to wait for an approval. Then one run fails, and nobody can tell which step caused it. This is the point where most teams start caring about their agent platform API. Until now it was boring. Now it decides how much of…

  • How to Choose a Multi Agent Platform

    Your first agent was a quick win. The second took a weekend. By the fifth, nobody on the team could explain how they all fit together, and a customer got two different answers to the same question. That’s usually when people start shopping for a multi agent ai platform. A bit late, honestly. Better to…

  • What “Open Agents” Means in 2026

    You pick an open-source framework. Months later a protocol revision breaks your tool servers, and your traces don’t match what monitoring shows. Annoying. And you start wondering what “open” really got you. That’s the question hiding behind open agents. People throw the phrase around loosely. A couple of projects even use it as a product…

  • DNotifier Power Production AI Applications

    Your AI agent works great in a demo. Then real users show up. Requests pile up, a model times out, and nobody can explain why an answer went wrong. That gap between demo and production is where most teams get stuck. DNotifier AI agent infrastructure closes it. You get one SDK and one API to…

  • What Is an AI Infrastructure Platform?

    You ship one AI feature. It works. Then you add a second, and things get messy fast. Now you’re juggling model keys, message queues, chat storage, a search index, and glue code nobody wants to touch. That mess is why the AI infrastructure platform exists. What It Is An AI infrastructure platform is the backend…

  • Enterprise AI Governance

    Enterprise AI governance sounds abstract until an agent does something you can’t explain. Then it’s the only thing standing between you and a very uncomfortable meeting. In practice, it’s policies, permissions, and audit trails working together. What can an agent do. Who signed off on it. Can you actually prove what happened afterward. Without answers…