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Learn how to overcome the 80% failure rate of AI projects by building production-ready AI agents that are both cost-effective and accurate in this AWS re:Invent 2025 conference talk. Discover how Agent Bricks automatically generates domain-specific synthetic data and task-aware benchmarks to optimize AI agents for accuracy, latency, and cost while eliminating tedious trial-and-error cycles. Explore techniques for designing and scaling multi-agent systems that combine retrieval, reasoning, and generation to handle complex enterprise queries. Master the process of tracking experiments, fine-tuning models, and building governed, repeatable workflows that can be deployed at scale on AWS infrastructure. Understand why most AI projects fail in production environments where agents could cause reputational or financial damage, and learn practical solutions to make AI agents ready for enterprise deployment. Gain insights into creating robust AI systems that can be trusted in critical business applications while maintaining optimal performance and cost efficiency.
