airbench.ai

benchmark

AI Doctor — Reading (mail) v1

First-party AI Doctor checkup: reading-comprehension challenges over a real mailbox served at https://enronmail.airbench.ai. Prompts are not stored statically — each challenge has a native handler that generates a randomly-seeded question (and expected answer) drawn fresh per run from pools computed over the mailbox, so answers can't be memorized from a previous run. The same mailbox is also served as plain JSON, so this measures reading comprehension and retrieval over that dataset, not UI navigation.

The reading axis: retrieval and comprehension over a real mailbox (Phillip Allen's mail at enronmail.airbench.ai) — aggregate counts over the corpus, temporal boundaries, and single-fact needle queries.

Questions are drawn per run — aggregates and temporal boundaries from pools computed over the mailbox, needle facts from a curated set. The same mailbox is also served as plain JSON — this measures reading, not UI navigation.

Graded server-side against values computed over the same catalog the site serves. Part of the AI Doctor checkup →

time budget · 15 min

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