Autoblocks is a tool specifically designed for developers to monitor and enhance AI features that are powered by LLMs (Large Language Models) and other foundation models. Its main purpose is to provide an easy-to-understand and actionable view of the performance of generative AI applications in a production environment.

Key Features:

• Flexibility: Incorporate LLM management into your current codebase and developer workflow.
• Control: Retain complete control over your data, including precise access controls and audit logs.
• Actionability: Obtain actionable insights on how to enhance user interactions with LLMs.

Use Cases:

• Autoblocks is particularly suitable for product engineering teams aiming to unleash the full potential of generative AI.
• These teams can integrate new AI capabilities into existing software products and continuously iterate on them for improvement.
• Engineering teams can utilize Autoblocks to create engaging and highly personalized user experiences as software evolves and becomes more adaptable.