Question: I need a platform that allows my team to collaborate on building and testing AI-powered features, can you suggest one?

If you want a foundation for your team to build and test AI-powered features, Humanloop is a good option. It's a collaborative environment for developers, product managers and domain experts to iterate on AI features. With features like a collaborative prompt management system, an evaluation and monitoring suite, and customization tools, Humanloop is designed to help teams work more efficiently and get the best out of their AI. It integrates with popular LLM providers and comes with SDKs in Python and TypeScript for easy integration.

Another option is Prompt Studio, which provides a team collaboration environment for building, testing and sharing LLM-powered features. Its features include a collaborative text editor, customizable templates, testing and iteration tools, and a managed AI backend for deployment. Prompt Studio is good for automating legal document conformance checks, building reusable AI features for apps, and integrating AI into existing workflows, so it's good for both technical and non-technical people.

If you want a more advanced evaluation and testing environment, take a look at HoneyHive. This is a single LLMOps environment for collaboration, testing and evaluation of GenAI applications. HoneyHive includes automated CI testing, observability with pipeline monitoring, dataset curation, and prompt management. It's good for use cases like debugging, online evaluation, and data analysis, so it's good for ensuring your AI application is reliable.

If your team needs a workspace to build, test and evaluate AI-powered solutions, Prompt Mixer is another option. It includes features like automatic version control, AI suggestions, and the ability to connect to different AI providers. With evaluation metrics like regex matching and semantic similarity, Prompt Mixer can handle complex test scenarios and data management, so it's good for AI feature development and evaluation.