Autoblocks 2.0 is an AI evaluation platform designed for product teams to collaboratively test and improve their scaling AI-powered products. This platform is a one-stop solution to continuously improve all AI products by providing testing and evaluation, monitoring and guardrails, debugging, AI product analytics, prompt management, and RAG and context engineering.

With Autoblocks 2.0, teams can turbocharge their local testing and experimentation process to always put their best foot forward. They can configure online evaluations and guardrails to ensure a safe, trustful user experience. In case of bugs, teams can get down to the root cause and rapidly prototype solutions. They can connect AI product state to user outcomes and proactively uncover opportunities for improvement. Autoblocks 2.0 also enables prompt collaboration while ensuring that the code does not break. Lastly, teams can optimize each part of their context pipeline to drive accurate and relevant outputs.

What's great about Autoblocks 2.0 is that it adapts to any codebase or tech stack, so teams retain full control over their AI systems. It is designed specifically for product teams to collaborate efficiently and improve AI products iteratively. Autoblocks can quickly adapt to the breakneck speed of AI, unlike rigid tools that create unnecessary dependencies. With Autoblocks 2.0, teams can efficiently manage and improve AI products without adding friction to their workflow.

The platform offers flexible developer tools, such as Tracer SDK, Prompt SDK, and Testing SDK. It is powered by Autoblocks, which is engineered to satisfy the most rigorous privacy and security requisites. Autoblocks 2.0 has been trusted by big names in the market, such as ClickHouse Cloud and Gamma, and has led to significant product experience boosts.

In conclusion, Autoblocks 2.0 is a versatile and robust platform that teams can use to enhance their AI products' performance. It promises complete control over AI systems, collaboration, and improving AI iteratively.