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In the field guide

aievals

aievals.co

AI Evals provides tools and educational resources for evaluating large language model (LLM) systems, including error analysis, LLM-as-judge, retrieval-augmented generation (RAG) evaluation, agent evaluations, and 26 task-type playbooks. It also offers role-based courses with certificates to support learning and application of these evaluation methods, with every claim cited for transparency.

The product, beyond the pitch

Automatically researched · Not editorially reviewed · Sources checked Oct 14, 2026

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llms.txt is a Markdown file published at the root or a specific path of a website that provides large language models with a curated map of important pages under that scope. It was proposed in September 2024 by Jeremy Howard and is widely adopted by documentation platforms but is not an official standard or systematically consumed by major LLM providers as of 2026.

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Relay is a meta harness for coding that runs AI models you already pay for to improve coding tasks by racing models like Claude Code and Codex and only applying changes your tests prove. It runs on your own machine, manages task queues, runs tests, and learns lessons to improve software building with AI assistance.

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What changed

2 recorded changes · latest 10/14/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: summary

    See recorded changes
    summary

    Before: "AI Evals provides methods to evaluate large language model (LLM) systems including error analysis, LLM-as-judge, RAG evaluation, and agent evaluations. It offers 26 task-type playbooks and role-based courses with certificates, ensuring every claim is cited."

    After: "AI Evals provides tools and educational resources for evaluating large language model (LLM) systems, including error analysis, LLM-as-judge, retrieval-augmented generation (RAG) evaluation, agent evaluations, and 26 task-type playbooks. It also offers role-based courses with certificates to support learning and application of these evaluation methods, with every claim cited for transparency."

  2. Updated: summary

    See recorded changes
    summary

    Before: "AI Evals provides methods to evaluate large language model (LLM) systems including error analysis, LLM-as-judge, retrieval-augmented generation (RAG) evaluation, and agent evaluations. It offers 26 task-type playbooks and role-based courses with certificates, ensuring every claim is cited."

    After: "AI Evals provides methods to evaluate large language model (LLM) systems including error analysis, LLM-as-judge, RAG evaluation, and agent evaluations. It offers 26 task-type playbooks and role-based courses with certificates, ensuring every claim is cited."

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