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The latest developments, best practices and deep dives on AI evals.
The Step-By-Step Guide to MCP Evaluation
A step-by-step guide to MCP evaluation: how to test MCP-based LLM apps and agents, measure tool use and task completion, and catch failures with DeepEval.
AI Agent Evaluation: Metrics, Traces, Human Review, and Workflows
A practical guide to evaluating AI agents with LLM metrics and tracing—plus when human review matters, how it calibrates judges, and workflows that combine CI, sampling, and production signals.
LLM Arena-as-a-Judge: LLM-Evals for Comparison-Based Regression Testing
Everything you need to run LLM Arena-as-a-judge: a comparison-based, pairwise approach to regression testing LLMs, with DeepEval code to set it up.
RAG Evaluation Metrics: Assessing Answer Relevancy, Faithfulness, Contextual Relevancy, And More
RAG evaluation metrics — answer relevancy, faithfulness, and contextual relevancy — measure retrieval and generation quality, with working DeepEval code examples.
LLM Evals Framework That Predicts ROI: A Step-by-Step Guide
Most LLM evals fail because their metrics don't predict ROI. This playbook shows how to build outcome-based evals that correlate with real business KPIs and user value.
G-Eval Simply Explained: LLM-as-a-Judge for LLM Evaluation
The definitive guide to G-Eval: how this LLM-as-a-judge metric works, chain-of-thought scoring, and how to evaluate LLM apps on custom criteria with DeepEval.
Top LLM Evaluators for Testing LLM Systems at Scale
A rundown of the top LLM evaluators for testing at scale in 2025, from G-Eval and other LLM-as-a-judge metrics to the tooling that runs them in production.
How I raised Confident AI's $2.2M seed round in 5 days
Confident AI raised an oversubscribed $2.2M seed round in 5 days. Here's the fundraising strategy, the investor conversations, and the hard lessons from the raise.
How I Built Deterministic LLM Evaluation Metrics for DeepEval
DeepEval's DAG metrics make LLM-as-a-judge scoring deterministic by running outputs through a decision tree. Here's how I built these reliable, explainable metrics.
LLM Agent Evaluation Metrics in 2026: Tool Calling, Task Completion, Reasoning, and Trace-Based Evals
Learn how to evaluate LLM agents end-to-end with tool calling, task completion, reasoning, trace-based evals, human review, and DeepEval code examples.