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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…
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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…
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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…