GenerativeAI

  • Your Company’s Next Data Leak Could Start with a Helpful AI

    Your Company’s Next Data Leak Could Start with a Helpful AI

    An employee uploads a confidential contract to get a quick summary. The answer arrives in seconds. Understanding where the information went may take much longer. A supplier contract lands in an employee’s inbox shortly before a meeting. It is long, technical, and full of clauses that need explaining. The employee opens an AI assistant,…

  • How AI Agents Can Remember: Building Memory for Long-Term Use

    How AI Agents Can Remember: Building Memory for Long-Term Use

    AI agents are becoming increasingly capable of completing multi-step tasks, using tools, communicating with other systems, and making decisions with limited human supervision. Yet one problem continues to limit their usefulness: most agents do not truly remember. They may appear intelligent during a conversation, but when the session ends, much of what they learned…

  • How Hermes Agent Connects to AI Models and Builds Memory

    How Hermes Agent Connects to AI Models and Builds Memory

    The central idea .Hermes is not the intelligence itself. It is the operating layer around an AI model: it assembles instructions and context, sends requests to a selected model provider, executes approved tools, observes the results, and stores selected knowledge so later sessions can begin with useful continuity. A language model can produce a…

  • The Agent Manager: How to Build an AI That Manages Other AI Agents

    The Agent Manager: How to Build an AI That Manages Other AI Agents

    Artificial intelligence is moving beyond the era of the single assistant. The next generation of AI systems will not consist of one model trying to understand a request, search for information, use tools, make decisions, execute actions, verify results, and communicate with the user all inside the same loop. Instead, AI systems are beginning…

  • How to Automatically Detect and Remove AI Hallucinations from Production Systems

    How to Automatically Detect and Remove AI Hallucinations from Production Systems

    Introduction Artificial intelligence systems are rapidly moving from simple chat interfaces into infrastructure that makes decisions, analyzes documents, generates reports, searches corporate knowledge, writes software, communicates with customers, and operates autonomous agents. This transition creates a fundamental engineering problem: How can we determine whether an AI-generated statement is actually supported by evidence before allowing…