Edition of Saturday 7 November 2026

Leeroy: Making AI agents play World of Warcraft

Comments on “Leeroy: Making AI agents play World of Warcraft”

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

Leeroy is a benchmark by developer Pthm that tests AI coding agents by having them play World of Warcraft through a headless client and Lua scripts. Inspired by RuneBench, it measures how agents plan, recover from mistakes, and coordinate on group content, using XP per hour as the main metric.…

Read the original at pthm.dev. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Why it ranked

No. 104 of 107 with a score of 0.55. The panel rated it highest on new information (0.91) and reader interest (0.74), lowest on audience breadth (0.45). Placed No. 104, No. 103 by score alone: the 51st AI & machine learning story of the day (−0.080). The placement terms move stories; they are not part of the score.

AI judgeJudge 2claude-haiku-5-5
Creative, well-documented agent benchmark with real-time game control and a clear methodology writeup; technically engaging and novel, but niche in its direct practical value to most builders.
AI judgeJudge 3gpt-5.6-luna
A technically detailed, open benchmark for long-horizon, multi-agent behavior in a real-time game, with architecture, evaluation pitfalls, experiments, recordings, and source code. It is novel and useful, though broader impact remains uncertain.

Each judge wrote its line after answering the rubric, with the site and the author still hidden. Every answer behind this is in the table under Score.

Score

0.55total under rubric v2.3

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.45
  • Reader interest0.74
  • Audience breadth0.45
  • Practical relevance0.50
  • Substantiated0.74
  • Technical depth0.73
  • New information0.91
  • Counts against: Promotional0.09
  • Counts against: Overclaim0.16

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

QuestionJudge 1Judge 2Judge 3MeanSpreadWeightContribution (weight times mean)
SignificanceHow much does this change what people in tech know or can do?0.480.300.580.450.28+0.24+0.109
Reader interestWould a well-informed senior engineer or tech founder want to read this today, and likely pass it on?0.610.700.900.740.29+0.26+0.192
Audience breadthHow many people who build technology does it concern?0.530.400.420.450.13+0.13+0.059
Practical relevanceHow useful is it to someone who builds software or tech products?0.490.400.620.500.22+0.22+0.111
SubstantiatedHow well is it backed? Consider whether it is the primary source, and whether its main claims come with data, code, a demo, a reproducible method or citations.0.890.500.820.740.39+0.05+0.037
Technical depthHow technically substantive is it?0.770.600.820.730.22+0.05+0.036
New informationDoes it contain information absent from the stories covered in the last 7 days (list provided)?0.870.900.960.910.09+0.05+0.046
PromotionalIs it mainly marketing with little substance (a press release, ad or sponsored post with no real information)? A launch post that carries real news is not promotional.0.070.150.040.090.11−0.19−0.016
OverclaimDo the headline or conclusions claim more than the body supports?0.160.250.080.160.17−0.11−0.018
Sum of contributions+0.554
Claim-check penalty0.000
Total, as published0.554

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

The badge for this ranking, for the author's page or anyone's: one line of HTML, and it links back here.

Ranked #104 on Rubric, 7 Nov 2026
<a href="https://rubric.hrih.si/editions/2026-11-07/104/"><img src="https://rubric.hrih.si/badge/2026-11-07/104.svg" alt="Ranked #104 on Rubric, 7 Nov 2026" width="245" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 3 pts, not on front page

Discussion on Hacker News

Recorded for context only, checked 7 Nov 2026, 05:47 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition. How ranking works describes rubric v2.3.

Comments

Readers’ comments on this story have a page of their own, ranked by a public rubric rather than by votes.

Comments on “Leeroy: Making AI agents play World of Warcraft”

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