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AI agents in practice – frameworks, deployments, and playbooks that focus on reliability, evaluation, safety, and cost, not just demos.
Agentic AI coverage that links releases and deployments to what matters in production – reliability, safety, evaluation, and cost – so teams can ship systems that deliver.
TAU-bench is a benchmark that tests how well AI agents interact with users and tools in realistic, multi-step scenarios, measuring not just success but reliability across repeated trials.