AI agent design patterns provide a structured approach to building intelligent systems that address diverse challenges in automation and workflow optimization. As highlighted by Google Cloud Tech, ...

Multi-agent AI systems require strict AWS Cedar policies to prevent unchecked privilege escalation during automated ...

What if the key to building AI systems that are not only powerful but also trustworthy lies in a set of repeatable design principles? As artificial intelligence continues to shape industries and ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

New autonomous agents help SOC teams reduce alert noise, understand threat context, access deeper threat insights, and ...

Just like some problems are too big for one person to solve, some tasks are too complex for a single AI agent. Instead, the best approach is to decompose problems into smaller, specialized units, ...

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to ...

Skills SA has built a multi-agent AI workflow to help it review how well vocational education and training providers meet a set of student support requirements each year. The setup, running largely on ...