An AI office-work benchmark, and 4 bugs we found in our own judge
An AI office-work benchmark, and 4 bugs we found in our own judge is a research AI agent for To objectively measure an AI assistant's effectiveness on practical office workflows while identifying weaknesses in the evaluation process itself. Pricing: not stated on the product page. As of 2026-10-27, KanonAgent records 1 upvotes. First indexed by KanonAgent on 2026-08-05.
A benchmark platform for evaluating AI performance on real-world office tasks, exposing four critical flaws in its own assessment system.
1 upvotes
Tracked by Kanon since Aug 5, 2026
no signal yet
status
8/100
momentum · conf 0.46
66d
tracked since 2026-08-22
0
evidence records
No signal event on file yet — status is unknown, not "quiet".
📈 Timelinewhat changed, and when
first observedKanon started keeping permanent history for this agent
🔎 Known / Unknown
17 of 23 fields unknown
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Open source
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Bring your own key
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“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · research
Job to be doneTo objectively measure an AI assistant's effectiveness on practical office workflows while identifying weaknesses in the evaluation process itself.
Who it is forAI research and development teams focused on improving assistant models.
Traction · why it is risingIt gains attention by demonstrating self-awareness in its evaluation framework, revealing systemic issues that other benchmarks overlook.
Why it matters
Its transparency in exposing flaws makes it a valuable reference for building more reliable AI evaluation standards.
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