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name: autodatalab_plus
type: space
runtime: fastapi
app: server.app:app
port: 7860
description: >
Multi-agent company simulation where a trainable Chief of Staff routes work
across Data Analyst, Finance, HR, and Strategy specialists to solve
realistic business briefing tasks.
tags:
- openenv
- multi-agent
- enterprise
- reinforcement-learning
- orchestration
tasks:
- id: easy_brief
difficulty: easy
grader: ceo_brief_env.graders:grade_episode
summary: >
Revenue sanity check: trust the raw sales file, estimate next-quarter
revenue, and send the team an internal update.
- id: medium_brief
difficulty: medium
grader: ceo_brief_env.graders:grade_episode
summary: >
Identify the growth-driving category, forecast next-quarter revenue,
recommend action, and communicate to department leads.
- id: hard_brief
difficulty: hard
grader: ceo_brief_env.graders:grade_episode
summary: >
Produce a board-style summary with risk flags, forecast, strategy, and a
CFO-facing memo.
- id: expert_brief
difficulty: hard
grader: ceo_brief_env.graders:grade_episode
summary: >
Full specialist stack: analytics, finance forecast, NVDA/AAPL/JPM strategy
line, and executive memo; use RAG and Stooq when advanced mode is on.
- id: risk_brief
difficulty: hard
grader: ceo_brief_env.graders:grade_episode
summary: >
Board-level risk brief after an internal audit flag: quantify data
issues, finance downside and break-even sensitivity, NVDA/AAPL/JPM
stance under risk controls, and an HR/comms memo for the audit
committee.
- id: crisis_brief
difficulty: hard
grader: ceo_brief_env.graders:grade_episode
summary: >
Mid-quarter shock + hiring freeze: tight data-quality read, finance
variance and break-even sensitivity, defensive NVDA/AAPL/JPM strategy,
and an HR/comms memo to CEO/CFO/COO that names variance, projection,
strategy, and break-even.
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