评委您好 — 如果您想先用中文快速了解产品逻辑与测试路径,请直接阅读 评委导览(中文)。该页已覆盖评审所需的全部信息;英文正文为技术评委提供更深细节,非必读。
See it for yourself
Three real artifacts, pulled from the running database — this is what “an agent does the job” means in practice.A graded glossary term
Every term the Producer curates carries a grade and a source. A rendering is marked 官方译法 (official) only when the agent actually found a citable bilingual source — never upgraded on confidence alone.
A real scored practice attempt
A student interpreted a sentence aloud; a multimodal model listened to the audio and scored it on three dimensions, with reasons.Source (中 → 英): 当前正在发生的以人工智能为标志的科技革命,将对新一轮经济全球化和人类社会发展产生难以估量的深刻影响。What the student said: “The ongoing scientific and technological revolution characterized by artificial intelligence would exert an unimaginable impact on the new round of economic globalization and the development of human society.”
The model’s note: “
unimaginable impact 略异于更标准的 profound impact,但意思相近;exert an impact 是地道搭配;术语正确:人工智能、经济全球化。”When a student misses an official term, it is routed automatically into that student’s spaced-repetition flashcard queue.A briefing's bilingual term table
Part of a real 9,000-character pre-meeting briefing (WTO MC14). Each row is graded and sourced, ready for an interpreter to prepare against.
In numbers
33 real courses
Produced from verified bilingual sources — e.g. the 2026 Government Work Report: 218 terms, 246 aligned sentence pairs.
9,000-character briefings
Pre-meeting knowledge packs with graded bilingual term tables and cited further reading.
3-dimension scoring
Multimodal audio scoring — accuracy · terminology · fluency — with automatic weak-term flashcards.
Live in production
On Vercel with a durable agent runtime, used by a real teacher and her students.
What InterpScout does
An interpreting classroom has three chronic bottlenecks: preparing bilingual teaching material is slow, pre-meeting preparation is unteachable at scale, and practice feedback depends entirely on teacher hours. InterpScout assigns an agent to each.Producer — course production
The teacher points at a bilingual source (or picks from daily auto-discovered candidates). The Producer agent aligns it paragraph by paragraph, curates terminology across the whole document, and publishes a parallel-reading course — typically in minutes.
Briefing — pre-meeting preparation
Given a meeting topic, the Briefing agent researches the web, cross-checks sources, and delivers a 9,000-character pre-meeting knowledge briefing: domain crash course, speaker and institution profiles, contested issues, and a graded bilingual term table.
Practice — sight interpretation
Students interpret real sentences from real courses, out loud. A multimodal model listens to the audio directly and scores accuracy, terminology, and fluency — then routes every missed term into that student’s flashcard queue.
Classroom — management & analytics
Teachers create classes with invite codes, watch per-student averages, and see the terms the whole class keeps missing — data that decides what next week’s lesson should be.
Start here
1
Read the Chinese judges guide
评委导览 covers the whole product logic and the test-account path in Chinese — the fastest way in.
2
Log in and try it
The Quickstart walks you through the live site with ready-to-use accounts — produce a course, generate a briefing, score a practice attempt.
3
Watch an agent work
Every course and briefing reports progress live on the Activity stream — you can watch the research desk fill in, in real time.
4
See how it's verified
Truth Layer explains the core thesis: a prompt is never a guarantee — a machine checks what a machine produces.
How the pieces connect
The teaching loop: a teacher hands a source or a meeting topic to the two agents; their output and a shared terminology base flow through student practice, AI scoring, flashcards and dashboards, and back to the teacher.