DNOTIFIER BLOGS

Category: Product & Platform

  • Agent Harness vs Framework: The Difference

    Your team says “harness.” Another team says “framework.” A vendor pitches a “platform.” Then someone says “infrastructure” and the meeting goes quiet. These words get tossed around like they mean the same thing. They don’t. Mix them up and you buy the wrong tool, or miss a gap until production. Here’s a plain take on…

  • 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…

  • 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…

  • AI Agent Providers: Choose and Combine

    AI agent providers are the model vendors behind your agents, like OpenAI, Anthropic, or Google. Choose each one by the job it does. Quality, cost, hosting. A second vendor won’t give you a second agent, though. Separate roles, tools, and coordination will. Lots of demos blur this. One prompt goes to two models, somebody merges…

  • 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…