The world of AI is rapidly evolving, with sophisticated functions, intricate workflows, and intelligent agents becoming core components of modern applications. But as your AI systems grow in complexity, a critical question emerges: how do you ensure they are performing as expected? How do you maintain quality, identify bottlenecks, and ultimately, guarantee your AI delivers on its promise?
This is where Evals.do comes in. Designed as a comprehensive evaluation platform, Evals.do empowers you to rigorously assess the performance of your AI components, ensuring they meet your quality standards and deliver tangible value.
In the early days of AI, simply getting a model to work was often the primary goal. Today, with AI embedded in critical business processes and customer-facing solutions, performance, reliability, and quality are paramount.
Without a robust evaluation strategy, you risk:
Evals.do provides the tools you need to move beyond anecdotal evidence and establish a data-driven approach to AI quality assurance. Whether you're building a customer support chatbot, an automated data processing pipeline, or a complex decision-making agent, Evals.do helps you understand, measure, and improve its performance.
At its core, Evals.do works by allowing you to define precise evaluation criteria, gather data from your AI components, and then process that data through various evaluators to generate insightful performance reports.
Evals.do is designed for versatility. You can evaluate a broad spectrum of AI components, including:
Let's look at how you might define an evaluation for a customer support agent using Evals.do:
import { Evaluation } from 'evals.do';
const agentEvaluation = new Evaluation({
name: 'Customer Support Agent Evaluation',
description: 'Evaluate the performance of customer support agent responses',
target: 'customer-support-agent',
metrics: [
{
name: 'accuracy',
description: 'Correctness of information provided',
scale: [0, 5],
threshold: 4.0 // We expect a high degree of accuracy
},
{
name: 'helpfulness',
description: 'How well the response addresses the customer need',
scale: [0, 5],
threshold: 4.2 // Responses should be genuinely useful
},
{
name: 'tone',
description: 'Appropriateness of language and tone',
scale: [0, 5],
threshold: 4.5 // Maintaining a professional and empathetic tone is crucial
}
],
dataset: 'customer-support-queries', // A collection of real or simulated customer interactions
evaluators: ['human-review', 'automated-metrics'] // Combining human and machine assessment
});
This simple configuration allows you to set clear performance targets and understand exactly where your agent shines and where it needs refinement.
In the fast-paced world of AI development, continuous evaluation is not just a best practice – it's a necessity. Evals.do provides the robust framework you need to ensure your AI components are not just functional, but truly high-performing, reliable, and aligned with your quality standards.
Ready to take control of your AI's performance? Learn more and get started at Evals.do. Assess AI Quality and ensure your intelligent systems deliver consistent, exceptional results.