Multi-agent orchestration is redefining how enterprises deploy AI at scale. The first generation of AI applications concentrated on single-agent applications, a single model, a single prompt loop, and a single decision output. That works well for closed tasks such as … Read More
AI workflow automation
How Enterprises Are Building AI Agents in 2026
AI agents have moved from experimental to essential. But how are enterprises actually building and deploying them? In partnership with research firm Material, Claude surveyed over 500 technical leaders across industries and company sizes to understand how organizations are deploying … Read More
Building 17 Agentic AI Patterns and Their Role in Large-Scale AI Systems
The new phase of artificial intelligence is engineering-focused. In this phase, engineers will concentrate on designing systems that operate as independent agents. These systems will require the ability to reason and take various types of actions in highly complex, dynamic, … Read More
How Model-Native Retrieval Could Replace Vector Databases: OpenAI’s New Direction
For years, enterprise retrieval systems have relied on embeddings and vector databases as their foundation. Whether building semantic search, RAG-based pipelines, or agentic workflows, the approach remained consistent: chunk text, encode with transformers, store in vector indexes, and retrieve via … Read More