Autoblocks AI

Autoblocks is a developer-centric tool designed to monitor and improve AI features powered by LLMs (Large Language Models) and other foundation models. It offers an intuitive and actionable view of how generative AI applications are performing in production. Key Features: Flexibility: Integrate LLM management into your existing codebase and developer workflow.Control: Maintain full control over your data with fine-grained access controls and audit logs.Actionability: Derive actionable insights on how to improve LLM user interactions. Control: Maintain full control over your data with fine-grained access controls and audit logs.Actionability: Derive actionable insights on how to improve LLM user interactions. Actionability: Derive actionable insights on how to improve LLM user interactions. Use Cases: Autoblocks is ideal for product engineering teams looking to unlock the full potential of generative AI.These teams can integrate new AI capabilities into existing software products and iterate on them for continuous improvement.Engineering teams can use Autoblocks to create delightful and hyper-personalized user experiences as software becomes increasingly malleable. These teams can integrate new AI capabilities into existing software products and iterate on them for continuous improvement.Engineering teams can use Autoblocks to create delightful and hyper-personalized user experiences as software becomes increasingly malleable. Engineering teams can use Autoblocks to create delightful and hyper-personalized user experiences as software becomes increasingly malleable.