<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>LZY Blog</title>
    <link>https://niraya666.github.io/en/</link>
    <description>Recent content on LZY Blog</description>
    <image>
      <title>LZY Blog</title>
      <url>https://niraya666.github.io/img/基于大语言模型的%20Agent：科普向-assets/cover.webp</url>
      <link>https://niraya666.github.io/img/基于大语言模型的%20Agent：科普向-assets/cover.webp</link>
    </image>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <lastBuildDate>Sun, 13 Sep 2026 16:00:00 +0800</lastBuildDate>
    <atom:link href="https://niraya666.github.io/en/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>AI Decouples Production from Cultivation</title>
      <link>https://niraya666.github.io/en/posts/ai-decouples-production-and-cultivation/</link>
      <pubDate>Sun, 13 Sep 2026 16:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/ai-decouples-production-and-cultivation/</guid>
      <description>AI is decoupling output from cultivation: as entry-level tasks are absorbed, how talent debt forms, where judgment comes from, and why growth no longer just happens on its own.</description>
    </item>
    <item>
      <title>Agent Eval Practical Guide 03: How to Choose Evaluation Methods</title>
      <link>https://niraya666.github.io/en/posts/agent-eval-guide-03/</link>
      <pubDate>Wed, 05 Aug 2026 12:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/agent-eval-guide-03/</guid>
      <description>Part three of the Agent Eval Practical Guide series: a deep comparison of three scoring approaches — Code-based Evaluators, LLM-as-a-Judge, and Human Evaluation — their applicable scenarios, selection criteria, common pitfalls, and how evaluators themselves should be calibrated.</description>
    </item>
    <item>
      <title>Agent Eval Practical Guide 02: How to Build an Eval Set</title>
      <link>https://niraya666.github.io/en/posts/agent-eval-guide-02/</link>
      <pubDate>Fri, 17 Jul 2026 12:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/agent-eval-guide-02/</guid>
      <description>Building an eval set is more than collecting queries — every case needs explicit success criteria, world state, trajectory anchors, and metadata to enable stable scoring and regression testing.</description>
    </item>
    <item>
      <title>Agent Eval Practical Guide 01: The More Complex the System, the More Evaluation Must Come First</title>
      <link>https://niraya666.github.io/en/posts/agent-eval-guide-01/</link>
      <pubDate>Mon, 13 Jul 2026 12:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/agent-eval-guide-01/</guid>
      <description>The opening piece of the Agent Eval Practical Guide series: why LLM system evaluation is statistical rather than deterministic, why evaluation must precede optimization, and how human judgment is embedded into automated systems through the evaluation framework.</description>
    </item>
    <item>
      <title>Beyond SOTA: What Agent-Memory Benchmarks Actually Measure — and What They Miss</title>
      <link>https://niraya666.github.io/en/posts/agent-memory-benchmark-summary/</link>
      <pubDate>Thu, 09 Jul 2026 19:03:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/agent-memory-benchmark-summary/</guid>
      <description>A comprehensive survey of agent-memory benchmarks: from LoCoMo and LongMemEval to PersonaMem, covering evaluation methodology, metrics, and data synthesis pipelines across conversational memory, user profiling, and multimodal memory.</description>
    </item>
    <item>
      <title>The Hardest Part of AI Transformation Isn&#39;t AI — It&#39;s the Dirty Work Nobody Wants to Do</title>
      <link>https://niraya666.github.io/en/posts/ai-transformation-hardest-part-isnt-ai-but-dirty-work/</link>
      <pubDate>Wed, 10 Jun 2026 11:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/ai-transformation-hardest-part-isnt-ai-but-dirty-work/</guid>
      <description>Why AI transformation stalls after model selection: dirty data, undocumented workflows, integration debt, evaluation gaps, and organizational resistance are the real bottlenecks.</description>
    </item>
    <item>
      <title>From Agent Trajectory to Agent Skill: How to Turn Experience into Compounding Returns</title>
      <link>https://niraya666.github.io/en/posts/from-agent-trajectory-to-agent-skill-compounding-returns/</link>
      <pubDate>Tue, 02 Jun 2026 20:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/from-agent-trajectory-to-agent-skill-compounding-returns/</guid>
      <description>How to convert agent trajectories into reusable skills through extraction, validation, deduplication, evaluation, and continuous optimization.</description>
    </item>
    <item>
      <title>On Agent Harness: A Minimalist Design Guide for AI Agent Harnesses in 2026</title>
      <link>https://niraya666.github.io/en/posts/agent-harness-minimalist-design-guide-2026/</link>
      <pubDate>Wed, 08 Apr 2026 21:03:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/agent-harness-minimalist-design-guide-2026/</guid>
      <description>A practical 2026 guide to the minimum architecture of an AI agent harness: loops, tools, filesystems, context management, memory, subagents, and observability.</description>
    </item>
    <item>
      <title>Stop Overthinking: A Practical Guide to LLM Thinking Budget Control</title>
      <link>https://niraya666.github.io/en/posts/understanding-llm-thinking-budget-control/</link>
      <pubDate>Tue, 05 Aug 2025 20:12:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/posts/understanding-llm-thinking-budget-control/</guid>
      <description>A practical analysis of LLM overthinking and thinking budget control solutions, comparing reasoning length and compute budget configurations across mainstream model APIs.</description>
    </item>
    <item>
      <title>About</title>
      <link>https://niraya666.github.io/en/about/</link>
      <pubDate>Sun, 21 Apr 2024 12:00:00 +0800</pubDate>
      <guid>https://niraya666.github.io/en/about/</guid>
      <description>&lt;h3 id=&#34;about-me&#34;&gt;About Me&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Post-modern human&lt;/li&gt;
&lt;li&gt;AI practitioner and lifelong learner&lt;/li&gt;
&lt;li&gt;Work enthusiast&lt;/li&gt;
&lt;li&gt;World explorer&lt;/li&gt;
&lt;li&gt;INFJ&lt;/li&gt;
&lt;li&gt;Reading, listening, creating&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Welcome to my personal blog!&lt;/p&gt;</description>
    </item>
    <item>
      <title>Travel Map</title>
      <link>https://niraya666.github.io/en/travel-map/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://niraya666.github.io/en/travel-map/</guid>
      <description>Places I have visited</description>
    </item>
  </channel>
</rss>
