Developing an LLM testing strategy is challenging because the model’s inputs are open-ended and responses are non-deterministic. AI agents couple language models with the ability to take ...

Google has introduced Agent Executor, an open-source runtime standard for AI agent execution, resumption, and deployment.

The new runtime could help enterprises address operational challenges tied to scaling AI agents in production, although ...

Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's table stakes now. What ...

Google has overhauled its Gemini Enterprise tools with a new Agent Platform aimed at securely building, managing, and deploying AI agents at scale. Announced at Google Cloud Next, the platform ...

Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is running in production. Its job is to detect infrastructure ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. OpenAI announced its acquisition of Promptfoo, a startup whose open-source tools help ...

AI agents hold great promise. They can rapidly explore flows, generate test ideas and produce evidence. Unfortunately, speed is not the same as trust. But when an AI agent claims that all tests have ...

In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money. The company admitted this ...