Scorecard

What is Scorecard?

Scorecard is a powerful tool designed to help teams evaluate, optimize, and deploy AI agents efficiently. It provides a comprehensive solution for testing AI performance against vetted metrics, creating experiments, and managing deployments to production without needing to touch an Integrated Development Environment (IDE). Scorecard helps identify and address real-world usage issues, ensuring that AI agents perform as expected in live environments.

Benefits

Opening the Black Box of AI Behavior

AI can be unpredictable, but Scorecard helps by providing continuous evaluation as you build. This allows teams to catch problems early, fix them quickly, and ship AI agents that work reliably.

Gain Live Observability

With Scorecard, you can monitor how users interact with your AI agents in real time. This live observability helps identify issues, track failures, and find opportunities for improvement, ensuring that your AI agents perform optimally.

Version and Store Your Best Prompts

Scorecard allows you to create, test, and track your best-performing prompts in one place. This feature keeps a history of what works, providing your team with a single source of truth for prompt management.

Create Trustworthy Metrics

Scorecard offers a validated metric library with industry benchmarks. You can customize these metrics or create your own to track what matters most to your business, ensuring that your AI agents meet the highest standards.

Validate Your Performance

Run structured tests with Scorecard to gain clear, actionable insights. This validation process ensures that your AI agents perform well before going live, giving you confidence in their reliability.

Use Cases

Continuous Evaluation

Scorecard's continuous evaluation feature helps teams monitor AI agent performance in real time. This is particularly useful for identifying and addressing issues as they arise, ensuring that AI agents perform consistently.

Experimentation and Optimization

With Scorecard, teams can create experiments to test different AI agent configurations. This experimentation process helps optimize performance and identify the best-performing prompts and metrics.

Deployment Management

Scorecard simplifies the deployment process by providing tools to manage AI agent deployments to production. This ensures that AI agents are deployed smoothly and perform as expected in live environments.

Additional Information

The Method

Scorecard creates a fast feedback loop for AI agents. This method involves testing smarter, validating the right metrics, and improving agents with continuous evaluation. The traditional workflow is slow and disjointed, lacking real-time feedback. In contrast, the Scorecard workflow is fast, integrated, and provides continuous evaluation, making it a more efficient and effective solution for AI development.

Take Control of AI Performance

Scorecard is used by forward-thinking teams to upgrade the way they build, test, and improve AI agents. By joining these teams, you can take control of your AI performance and ensure that your AI agents meet the highest standards.