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Integrations

From Guesswork to Guarantee: Why A/B Testing is Crucial for LLM Apps

Stop shipping AI features based on guesswork. Learn how systematic A/B testing can validate your prompts, models, and RAG pipelines to ensure you're delivering real value to users.

Experiments
3 min read

The Ultimate Guide to Evaluating RAG Pipelines

Is your RAG system actually improving responses? This guide covers the essential metrics (like context relevance and answer faithfulness) and testing frameworks for evaluating and optimizing your retrieval-augmented generation pipelines.

Data
3 min read

Beyond Accuracy: Key Metrics for Evaluating Production AI Agents

User experience depends on more than just accuracy. Discover critical metrics like latency, tool-use success rate, and hallucination frequency to get a complete picture of your AI agent's performance in production.

Agents
3 min read

How to Choose Your LLM: A Data-Driven Framework for Comparing Models

Don't just follow the hype. We provide a data-driven framework for setting up robust head-to-head experiments to compare leading LLMs on the metrics that matter most for your specific use case.

Experiments
3 min read

Experiments as Code: The New Paradigm for Reliable AI Development

Move beyond manual spreadsheets and one-off scripts. Learn the benefits of defining your AI tests as version-controlled code for repeatable, scalable, and collaborative experimentation.

Workflows
3 min read

Reducing LLM Hallucinations: A Test-Driven Approach for Trustworthy AI

Hallucinations erode user trust and can be costly. This post details practical experimentation strategies to systematically measure, identify, and reduce hallucinations in your AI-powered services.

Services
3 min read

The ROI of AI Experimentation: Proving the Business Value of Rigorous Testing

How does systematic testing impact the bottom line? We break down the return on investment of AI experimentation, from improved user retention and engagement to reduced operational costs.

Business
3 min read

A Practical Guide to A/B Testing Prompts for Better Performance

Dive deep into the art and science of prompt engineering. Learn how to design, execute, and analyze A/B tests for your prompts to dramatically improve AI quality and consistency.

Experiments
3 min read

CI/CD for LLMs: Integrating Automated Experiments into Your Workflow

Get started with AI A/B testing today. This step-by-step tutorial walks you through integrating the Experiments.do SDK and running your first prompt vs. prompt experiment in under 10 minutes.

Integrations
3 min read

Testing in the Dark: How to Validate Function-Calling in AI Agents

An agent is only as good as its tools. This guide explores how to design experiments that validate the reliability, accuracy, and efficiency of your agent's function-calling capabilities.

Functions
3 min read