Question: I need a solution that automates testing and reporting for my AI-powered project, do you know of any?

If you're looking for a tool to automate testing and reporting for your AI project, HoneyHive is a good example of a more comprehensive platform. It's designed to be a single environment for collaboration, testing, and evaluation of AI applications. It includes features like automated CI testing, production pipeline monitoring, dataset curation, prompt management, and detailed evaluation reports. It supports 100+ models with integrations for popular GPU clouds and offers a free Developer plan for individual developers and researchers.

Another good option is QA.tech, an AI-powered self-service QA testing tool. The tool crawls web applications, runs automated tests and generates detailed bug reports to ensure software quality. It integrates with CI/CD tools, offers real-time feedback, and dynamic adaptation, which makes it well-suited for SaaS companies that need to test different user flows and scenarios.

For a no-code automation platform, check out ACCELQ. It supports testing of Web, Mobile, API and Desktop applications, with support for modern technologies like JSON and Swagger. The platform is designed to accelerate continuous testing and improve quality assurance, and is suitable for a variety of roles within an organization.

Finally, Autoblocks provides an AI evaluation platform for the full development lifecycle of AI-powered products. It includes collaborative testing, online evaluations, debugging tools and AI product analytics. Autoblocks works with any codebase and integrates with popular AI tools like OpenAI and Hugging Face, so it's a good option for a variety of use cases.