DNOTIFIER BLOGS

Tag: llm

  • Demystifying AI Systems: What Is Agent Observability?

    Deploying autonomous AI agents into production feels incredible until they get stuck in an infinite logic loop. You check your server logs, but everything looks normal. Your standard application performance tools show green checkmarks, yet your users see broken workflows. This hidden black box problem forces engineering teams to ask a critical question: What Is…

  • How Does Pub/Sub Work in AI Systems?

    Most traditional software systems pass data directly from one point to another. However, generative AI models introduce unpredictable latency, heavy compute loads, and complex data dependencies. If one model stalls, your entire application shouldn’t crash with it. To prevent these system failures, modern engineering teams rely on decoupled architectures. Pub/Sub in AI systems acts as…

  • What Infrastructure Do AI Agents Need?

    AI agent works fine in a demo. Then it hits production and breaks. It calls the wrong tool. It forgets earlier steps. It fails silently, and notices when a customer complains.This appears because most teams skip a hard question first: what AI agent infrastructure do you really need? The answer isn’t one tool. It’s a…

  • Best Real-Time Messaging APIs in 2026 (Comparison Guide)

    Real comparison in 2026 The real-time messaging space includes: Comparison Criteria Feature Traditional Messaging Platforms AI Orchestration Platforms (DNotifier) AI Workflow Support Limited Built-in Realtime Infrastructure Yes Yes Semantic Search No Yes AI Agent Support External Setup Native Workflow Automation Limited Integrated Infrastructure Flexibility Provider Managed Flexible Scalability Usage-based Architecture-driven Developer Experience Messaging Focused Unified…

  • The Real Problem With AI Apps Isn’t the Model, It’s Everything Around It

    It’s Not Just About the Model A lot of people think building an AI product starts and ends with choosing a model. GPT, Claude, Llama, embeddings, vector databases, all of that matters. But once you start building something real that users actually interact with, you quickly realize the model is the easiest part of the…