Question: Do you know of a solution that provides team usage reporting and analytics to optimize AI assistant performance?

If you're looking for a solution that offers team usage reporting and analytics to fine-tune your AI assistant, TeamAI is a powerful option. It enables teams to collaborate on multiple AI models, automate workflows and create custom plugins to create custom AI assistants. With features like centralized AI workspaces, shared prompt libraries and detailed team usage reports, it's geared to help teams in HR, Ops, Design, Marketing and Sales get the most out of their AI.

Another good option is HoneyHive, which is geared to AI evaluation, testing and observability. It provides a range of tools to monitor AI applications in production, including automated CI testing, production pipeline monitoring and prompt management. With its evaluation reports, benchmarking and CI/CD integration, HoneyHive offers deep insights to fine-tune AI.

For a more enterprise-level option, Athina is a full stack for experimentation, measurement and optimization of AI applications. It includes real-time monitoring, cost tracking and customizable alerts. With its LLM observability, experimentation analytics and role-based access controls, Athina is geared for teams that want to formalize their AI development process and ensure their AI applications are reliable and efficient.

Humanloop is another good option for optimizing AI development. It helps with common problems like inefficient workflows and manual evaluation with features like collaborative prompt management, evaluation and monitoring suites and customization tools. With support for common LLM providers and integration options, Humanloop is well suited for product teams and developers who want to improve efficiency and reliability in their AI projects.