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      <title>Agent evaluation tools: MLflow vs DeepEval in 2026</title>
      <link>https://aiagentsnews.top/posts/agent-evaluation-tools-mlflow-vs-deepeval-in-2026/</link>
      <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-evaluation-tools-mlflow-vs-deepeval-in-2026/</guid>
      <description>Compare MLflow, DeepEval, and Ragas for agent evaluation. Learn why trace-aware scoring beats binary checks on 30M+ monthly downloads.</description>
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      <title>Agent evaluation: Cut the 80% time waste</title>
      <link>https://aiagentsnews.top/posts/agent-evaluation-cut-the-80-time-waste/</link>
      <pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-evaluation-cut-the-80-time-waste/</guid>
      <description>Teams burn 80% of cycles on error analysis. Datadog&#39;s new tools trace every prompt to turn production data into eval sets without context switching.</description>
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      <title>Agent evaluation: Fix reasoning loops with glassbox traces</title>
      <link>https://aiagentsnews.top/posts/agent-evaluation-fix-reasoning-loops-with-glassbox-traces/</link>
      <pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-evaluation-fix-reasoning-loops-with-glassbox-traces/</guid>
      <description>Move beyond static accuracy. Analyze multistep trajectories to catch critical failures where agents stall in continuous reasoning loops.</description>
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      <title>Agent evaluation: Lessons from Amazon&#39;s 2025 builds</title>
      <link>https://aiagentsnews.top/posts/agent-evaluation-lessons-from-amazons-2025-builds/</link>
      <pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-evaluation-lessons-from-amazons-2025-builds/</guid>
      <description>Learn how thousands of agents built across Amazon since 2025 prove static prompts fail. Discover framework-agnostic workflows to measure real task completion.</description>
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      <title>Agent evaluation: Score 50&#43; metrics for LLMs</title>
      <link>https://aiagentsnews.top/posts/agent-evaluation-score-50-metrics-for-llms/</link>
      <pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-evaluation-score-50-metrics-for-llms/</guid>
      <description>Output-only checks miss brittle logic. Use over 50 research-backed metrics to score discrete execution steps and catch planning failures early.</description>
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      <title>Agent evaluation: Why 100% accuracy still fails safety</title>
      <link>https://aiagentsnews.top/posts/agent-evaluation-why-100-accuracy-still-fails-safety/</link>
      <pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-evaluation-why-100-accuracy-still-fails-safety/</guid>
      <description>Standard benchmarks miss critical failures. This framework uses an internal LLM evaluator to audit multiturn conversations against safety policies and accuracy.</description>
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      <title>Evaluation types for AI agent reliability</title>
      <link>https://aiagentsnews.top/posts/evaluation-types-for-ai-agent-reliability/</link>
      <pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/evaluation-types-for-ai-agent-reliability/</guid>
      <description>LangSmith supports four distinct evaluator types to validate agent performance. Learn how offline testing and LLM-as-judge scoring catch regressions early.</description>
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      <title>Metrics that matter: Stop guessing LLM faithfulness</title>
      <link>https://aiagentsnews.top/posts/metrics-that-matter-stop-guessing-llm-faithfulness/</link>
      <pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/metrics-that-matter-stop-guessing-llm-faithfulness/</guid>
      <description>Gartner predicts 50% of GenAI deployments will need observability by 2028. Learn why structured metrics beat simple scores for RAG pipelines.</description>
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      <title>Agent testing needs an LLM evaluator, not static scripts</title>
      <link>https://aiagentsnews.top/posts/agent-testing-needs-an-llm-evaluator-not-static-scripts/</link>
      <pubDate>Sat, 04 Jul 2026 00:00:00 +0000</pubDate>
      <author>AI Agents News Editorial</author>
      <guid>https://aiagentsnews.top/posts/agent-testing-needs-an-llm-evaluator-not-static-scripts/</guid>
      <description>With 276 commits, this framework uses an LLM evaluator to test agent reasoning via multiturn dialogue instead of static string matching.</description>
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