[{"id":"evaluation","label":"Text Evaluation","icon":"📋","tab":"core","engine":"decision","blurb":"Judge whether a statement is accurate, supported, and actionable.","example":"Machine learning is a subset of artificial intelligence."},{"id":"classification","label":"Classification","icon":"🏷️","tab":"core","engine":"decision","blurb":"Categorise text into a topic and register in one pass.","example":"The KMS implementation is elegant and performant."},{"id":"sentiment","label":"Sentiment Analysis","icon":"😊","tab":"content","engine":"decision","blurb":"Polarity, intensity, and whether the author is likely to churn.","example":"I absolutely love this product! The quality is exceptional and customer service was amazing."},{"id":"intent","label":"Intent Detection","icon":"🎯","tab":"content","engine":"decision","blurb":"Identify what the user wants and the next best action.","example":"Hi, I'm having issues with my account login. I've tried resetting my password but still can't access my account."},{"id":"entity","label":"Entity Recognition","icon":"🏢","tab":"content","engine":"decision","blurb":"Detect which entity classes are present and the dominant subject.","example":"Sundar Pichai leads Google from Mountain View, driving innovation in cloud computing and AI."},{"id":"moderation","label":"Content Moderation","icon":"🚫","tab":"safety","engine":"decision","blurb":"Policy verdict plus per-category violation probabilities.","example":"This is professional business communication discussing project requirements."},{"id":"toxicity","label":"Toxicity Detection","icon":"☢️","tab":"safety","engine":"decision","blurb":"Toxicity level, target, and publishability.","example":"This is constructive feedback on improving the system architecture."},{"id":"fraud","label":"Fraud Detection","icon":"🔐","tab":"safety","engine":"decision","blurb":"Risk tier and the specific signals that fired.","example":"User purchased $49.99 item from familiar store in home city using verified card."},{"id":"routing","label":"Smart Routing","icon":"📍","tab":"ops","engine":"decision","blurb":"Pick the owning team, channel, and whether to escalate.","example":"The API returns a 500 error when processing large datasets with our database integration."},{"id":"priority","label":"Priority Scoring","icon":"⚠️","tab":"ops","engine":"decision","blurb":"Severity, SLA target, and whether to page someone.","example":"Multiple users report system is completely down and unable to access any services."},{"id":"summarization","label":"Summarization","icon":"📝","tab":"core","engine":"generation","blurb":"Compress to key points. Runs on a text LLM — decision models cannot generate prose.","example":"Jev excels at structured extraction, evaluation, and classification with 32K context and deterministic outputs, ideal for enterprise applications."},{"id":"extraction","label":"Data Extraction","icon":"🔍","tab":"core","engine":"generation","blurb":"Pull structured fields out of unstructured text. Runs on a text LLM.","example":"Streaming delivers tokens in real-time, enabling responsive UIs with progressive rendering."}]