Agents

Context engineering has emerged as an increasingly important part of working with LLMs, with prompt engineering as its essential building block. Prompt engineering is the craft of structuring instructions to get better outputs from AI models. It's how you phrase queries, specify style, provide context, and guide the model's behavior to achieve your goals. The difference between a vague instruction and a well-crafted prompt can mean the gap between generic outputs and exactly

AI agents make decisions autonomously, and workflows are how you bring structure to that autonomy. They establish execution patterns that channel agent capabilities toward complex problems requiring coordinated steps, predictable outcomes, and orchestrated timing. When you need multiple agents working together, the real decision is which pattern fits your problem. We've worked with dozens of teams building AI agents, and in production, three patterns cover the vast majority o

In this guide, we share how leading organizations are using agents to transform their work today, and how Claude Cowork brings these capabilities to every team. Our September 2025 Anthropic Economic Index found that in the U.S., 40 percent of employees report using AI at work, up from 20 percent in 2023. While these are significant gains, a looming question remains: will AI produce lasting advantages or incremental gains that plateau within a quarter? The enterprises pulling

As model intelligence and agentic harnesses evolve, Claude Managed Agents allows teams to build and deploy agents in production environments reliably at scale. Here’s why and how teams are using it.