Autoblocks

Autoblocks: Empowering Developers with AI Monitoring and Debugging

Autoblocks presents itself as a developer-centric platform, designed to enhance the monitoring and improvement of AI features, especially those powered by LLMs (Language Model Models) and other foundational models. The platform offers robust debugging, testing, and fine-tuning capabilities without the need for a proxy, making it an ideal choice for development teams. With features like full-stack monitoring, intuitive user interaction views, and flexible dashboards, Autoblocks ensures that developers have all the tools they need to understand and optimize their AI implementations.

Key Features:

• Simulate LLM Pipeline Changes: QA each iteration of your LLM orchestration by running historical user inputs through it.
• Intuitive User Interaction Views: Trace entire user interactions and understand the impact of your orchestration on user experience.
• Data Labeling and Filtering: Organize your data with labels, powerful filtering, and save views for quick access.
• Actionable Insights with Dashboards: Visualize your data and gain deeper insights into your application.

Ideal Use Case:

Autoblocks is tailored for developers and ML engineers who require a comprehensive platform for monitoring, debugging, and testing their AI features, especially those powered by LLMs and other foundational models.

Why use Autoblocks:

• Full-stack Capabilities: From monitoring to debugging, Autoblocks offers a comprehensive suite of tools.
• Integration Flexibility: Seamlessly integrates with any codebase without the need for proxies or cookies.
• Scalability: Handle vast amounts of data with ease, ensuring no data loss during traffic surges.
• Security: Hosted on AWS and secured by Cloudflare, with SOC II certification pending.

tl;dr:

Autoblocks offers a developer-centric platform for monitoring and improving AI features, ensuring optimal performance and reliability of AI implementations.