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Integrations

Beyond Unit Tests: Why Your AI Needs a Dedicated Evaluation Framework

Traditional software testing falls short for non-deterministic AI systems. Learn why specialized evaluation platforms like Evals.do are crucial for ensuring the quality, accuracy, and reliability of your LLM-powered applications.

Business
3 min read

How to Integrate AI Quality Assurance into Your CI/CD Pipeline

Automate your AI evaluation process and prevent regressions. This guide shows you how to trigger evaluation runs via API as part of your CI/CD pipeline, gating deployments based on performance thresholds with Evals.do.

Integrations
3 min read

The Three Layers of AI Evaluation: From Functions to Full Agents

A comprehensive AI evaluation strategy covers every layer. We break down how to test individual AI functions, multi-step workflows, and autonomous agents to ensure end-to-end quality and ship with confidence.

Agents
3 min read

Defining Success: Key Metrics for Evaluating Your LLM and AI Agents

What does a 'good' AI response look like? Explore essential metrics like accuracy, helpfulness, tone, and latency, and learn how to define success thresholds for your AI systems using Evals.do.

Experiments
3 min read

Getting Started: Your First AI Function Evaluation in 10 Minutes

Follow our step-by-step guide to define and run your first evaluation using the Evals.do SDK. Test your first AI function against a dataset and get actionable performance results in minutes.

Functions
3 min read

Stop Guessing, Start Measuring: The Business Case for Rigorous AI Evaluation

Inconsistent AI performance can damage user trust and hurt your bottom line. Discover the tangible ROI of implementing a systematic AI evaluation process to improve user experience and de-risk your deployments.

Business
3 min read

Taming Complexity: A Deep Dive into Evaluating Agentic Workflows

Testing a single LLM call is one thing, but how do you evaluate a multi-step agent? This post explores strategies and best practices for testing complex agentic workflows to ensure they behave reliably and as expected.

Workflows
3 min read

The Power of Golden Datasets in LLM and Agent Evaluation

Your AI evaluations are only as good as your test data. Learn how to create, manage, and utilize 'golden datasets' to consistently and reliably measure the performance and guard against regressions in your AI models.

Data
3 min read

From 'FAIL' to 'PASS': How to Debug and Improve Your AI Agent's Performance

An evaluation run failed. Now what? We'll walk you through interpreting evaluation results, identifying the root cause of a failure (like an off-brand tone), and iterating to improve your AI's performance.

Experiments
3 min read

Building Trustworthy AI: How Continuous Evaluation Ensures Reliability and Safety

For AI to be widely adopted, it must be trustworthy. Learn how a continuous evaluation strategy with Evals.do helps you monitor for biases, performance drift, and anomolies, building safer and more reliable AI services.

Services
3 min read