Browsing: AI & Automation

Real-time AI coaching is turning customer interactions into a continuous stream of performance data. Systems can analyze wording, tone, sentiment and adherence to scripts as a conversation unfolds, then prompt an employee or alert a supervisor. That speed can make assistance more useful, but it can also erase the distance between coaching and constant evaluation.

There’s growing excitement in the AI industry about the idea that today’s leading models could build the next generation of the technology. But a new study recently found top AI agents struggle on the kind of genuinely open-ended research problems required to push the field forward.

AI teams building production agents face a frustrating asymmetry: the diversity of agent frameworks keeps growing, but evaluation tooling has not kept pace. Most evaluation systems assume you built your agent in a specific way: a specific SDK, a specific large language model (LLM) client, a specific tracing pattern. The moment you step outside that…