Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
23% of turns were disengaging — Cait only found out after each conversation ended. State inference now runs live and adjusts mid-turn.
Most agents had never worked a contact center. Information scattered, scripts unmemorable. Real-time guidance walked them through each call.
Manual disposition entry drove 20% error rates. AI-suggested codes and auto-summaries cut that to under 1%.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Developers kept hitting the same silent API pitfalls alone. One PM built a pipeline that learns from each session and shares the knowledge.
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
23% of turns were disengaging — Cait only found out after each conversation ended. State inference now runs live and adjusts mid-turn.
Most agents had never worked a contact center. Information scattered, scripts unmemorable. Real-time guidance walked them through each call.
Manual disposition entry drove 20% error rates. AI-suggested codes and auto-summaries cut that to under 1%.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Developers kept hitting the same silent API pitfalls alone. One PM built a pipeline that learns from each session and shares the knowledge.