Agnost AI has launched, utilizing real-time analytics to enhance agent conversations by identifying missed failures and patterns. It integrates with any LLM and features automatic improvements, raising awareness of user feedback and bug detection within existing conversations.
Agnost AI, backed by Y Combinator, has introduced a service designed to analyze user interactions in conversations for the purpose of improving agent performance. This tool specializes in detecting missed failures that might affect user experience and operational efficiency.
Agnost AI provides failure detection and resolution capabilities by categorizing issues like broken workflows and churn risks based on real production conversations. It includes automatic agent improvements, sentiment analysis, and allows natural language data queries.
The service integrates seamlessly with any LLM framework, requiring an estimated setup time of just two minutes. This accessibility allows teams to start benefiting immediately by ingesting conversation data, thus making their agents smarter over time.
Agnost AI offers a free tier that supports up to 1,000 messages per month and includes a seven-day data retention period. For growing teams, a paid plan allows for up to 100,000 messages monthly with a 90-day retention policy, along with priority support features.
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Agnost AI has launched, utilizing real-time analytics to enhance agent conversations by identifying missed failures and patterns. It integrates with any LLM and features automatic improvements, raising awareness of user feedback and bug detection within existing conversations.