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    The Plumloom Blog

    Practical notes on LLM evaluation, shipping AI features safely, and building products your users can trust.

    5 min read

    Does Your AI Agent Actually Work?

    A demo proves your agent can produce a great answer. Reliability proves it does so every time. Here is how a PM closes the gap between "can work" and "reliably works."

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    5 min read

    Your Product Is a Conversation. Your Evals Should Be Too.

    Single-prompt scoring made sense when you shipped single completions. Today you ship conversations and agent trajectories — your evals should match the shape of the real work.

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    3 min read

    Why One Evaluation Run Is Often the Wrong Basis for Model Selection

    Across 45 controlled scenarios, multi-run evaluation reduced hard winner instability by 72.73%. A single run is one thermometer reading — repeated evaluation checks whether the reading holds.

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    3 min read

    A Reliable Evaluation Must Respond Correctly to the Evidence It Sees

    What 38 evaluation lifecycles taught us about measurement correctness — zero false convergence decisions, zero false continuations, zero artifact mismatches.

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    8 min read

    The Cheapest Model Won We Ran the Viral Anti-Sycophancy Prompt Through 4 LLMs

    Ben Horowitz's viral anti-sycophancy system prompt promises to stop models from agreeing with you. We built a structured eval across 4 models to see whether it actually works — and the smallest, cheapest model came out on top.

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    7 min read

    The Evaluation Number You're Trusting Might Be Wrong

    Why single-judge LLM scoring is structurally unreliable, and what to do about it.

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    14 min read

    Why Your AI Aces Benchmarks and Fails Users

    A framework for treating LLM evaluation as a product quality discipline

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    2 min read

    Why LLM Evals Matter More Than You Think

    Vibes-based testing breaks the moment your product reaches real users. Here's why evaluation is the unglamorous work that decides whether your LLM feature ships or stalls.

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    1 min read

    Welcome to the Plumloom Blog

    A new place for practical notes on LLM evaluation, shipping AI features safely, and the lessons we learn building Plumloom.

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