Tag: Best Practices
4 posts
Evaluating AI agents for production: A practical guide to Strands Evals
Learn how to systematically evaluate AI agents using Strands Evals, covering core concepts like cases, experiments, evaluators, multi-turn simulation capabilities, and practical integration patterns for production deployment.
How Steering Hooks Achieved 100% Agent Accuracy Where Prompts and Workflows Failed
Steering hooks achieved a 100% accuracy pass rate across 600 evaluation runs, compared to 82.5% for simple prompt-based instructions and 80.8% for graph-based workflows.
Building intelligent physical AI: From edge to cloud with Strands Agents, Bedrock AgentCore, Claude 4.5, NVIDIA GR00T, and Hugging Face LeRobot
Learn how to build physical AI systems that combine edge computing with cloud intelligence using Strands Agents, NVIDIA GR00T, and Hugging Face LeRobot.
Strands Agents and the Model-Driven Approach
Learn how the model-driven approach in Strands Agents SDK lets modern LLMs drive their own behavior, making agents more resilient and adaptable.